• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1485-1492
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• 2021

In this study, in order to secure an educational environment for the development of skin beauty subjects using VR based on the learners' awareness of VR, a total of 105 learners' perception of VR, VR experience elements, and the development of VR-using skin beauty subjects, questions about general characteristics were conducted using an online questionnaire. As a result of the survey through frequency analysis, factor analysis, and correlation analysis, the higher the awareness of VR, the higher the educational performance and immersion (p<.01). It was found that awareness and interest were high (p<.001). As for the correlation, the higher the VR-using skin care experience factor, the higher the perception of VR-using skin beauty course development. Therefore, it was confirmed that it is necessary to develop and educate skin beauty subjects using VR in line with learners' expectations and the 4th industrial revolution era. Therefore, in follow-up studies, it is considered that it is necessary to develop and operate VR-based skin beauty subjects.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.737-750
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• 2022

The demands of Unmanned Aerial Vehicles (UAVs) are growing very rapidly with the era of the 4th industrial revolution. As the technology of the UAV improved with the development of artificial intelligence and semiconductor technology, it began to be used in various civilian fields such as hobbies, bridge inspections, etc from being used for special purposes such as military use. MAVLink (Macro Air Vehicle Link), which started as an open source project, is the most widely used communication protocol between UAV and ground control station. However, MAVLink does not include any security features such as encryption/decryption mechanism, so it is vulnerable to various security threats. Therefore, in this study, the block cipher is implemented in UAV to ensure confidentiality, and the results of the encryption and decryption performance evaluation in the UAV according to various implementation methods are analyzed. In addition, we proposed the security requirements in accordance with Common Criteria, which is an international recognized ISO standard.

• Journal of the Korean Institute of Gas
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• v.27 no.2
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• pp.49-56
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• 2023

As AI (Artificial Intelligence)-related technologies are highly developed due to the 4th industrial revolution, cases of applying AI in various fields are increasing. The main reason is that there are practical limits to direct processing and analysis of exponentially increasing data as information and communication technology develops, and the risk of human error can be reduced by applying new technologies. In this study, after collecting the data received from the 'remote potential measurement terminal (T/B, Test Box)' and the output of the 'remote rectifier' at that time, AI was trained. AI learning data was obtained through data augmentation through regression analysis of the initially collected data, and the learning model applied the value-based Q-Learning model among deep reinforcement learning (DRL) algorithms. did The AI that has completed data learning is put into the actual city gas supply area, and based on the received remote T/B data, it is verified that the AI responds appropriately, and through this, AI can be used as a suitable means for electricity management in the future. want to verify.

• The Transactions of the Korea Information Processing Society
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• v.13 no.10
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• pp.545-552
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• 2024

As the 4^th Industrial Revolution progresses, the shipping logistics sector is becoming smarter by utilizing various core technologies such as AI, IoT, and Bigdata. In particular, the collected marine Bigdata plays a significant role in providing various services like vessel operation monitoring analysis and greenhouse gas emission evaluation, and it is also essential in shipping logistics. Although this maritime Bigdata is collected during actual vessel operations, there are instances where data is lost due to temporal and environmental factors. While It is important to identify and address the fundamental cause of such losses, it is also necessary to generate data through the utilization and analysis of the collected data. This paper develops an Emulator that repeatedly generates new location data, speed values, etc., using maritime transport data collected through empirical tests. The location data is generated by calculating the standard deviation from the collected position information, and the speed values are extracted from the generated location data. The generated data is accumulated by being inserted into the database in real-time. To demonstrate the performance of the Emulator, evperiments were conducted using 5 routes, providing its excellence.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.409-416
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• 2020

Artificial intelligence, which is in the spotlight as the core driving force of the 4th industrial revolution, is expanding its scope to various industrial fields such as smart factories and autonomous driving with the development of high-performance hardware, big data, data processing technology, learning methods and algorithms. In the field of defense, as the security environment has changed due to decreasing defense budget, reducing military service resources, and universalizing unmanned combat systems, advanced countries are also conducting technical and policy research to incorporate artificial intelligence into their work by including recognition systems, decision support, simplification of the work processes, and efficient resource utilization. For this reason, the importance of technology-driven planning and investigation is also increasing to discover and research potential defense future technologies. In this study, based on the research data that was collected to derive future defense technologies, we analyzed the characteristic evaluation indicators for future technologies in the field of artificial intelligence and conducted empirical studies. The study results confirmed that in the future technologies of the defense AI field, the applicability of the weapon system and the economic ripple effect will show a significant relationship with the prospect.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.417-428
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• 2020

Augmented reality(AR) service as one of the representative technologies in the era of the 4th industrial revolution has gotten people's increasing attention. At this time, this study aimed to examine the determinants affecting service satisfaction of the AR-based camera application service by focusing on Naver's service. Several factors that might have influences on satisfaction of the AR-based camera application service were conceived based on the previous literature. And it was tested whether they had influences on satisfaction of the AR-based camera application service or not empirically. The responses of a sample of 312 people who had experienced using Naver's service were collected by means of an online survey and they were analyzed employing a hierarchical regression analysis. The results of this research indicated that gender as one of demographic variable, perceived interactivity, aesthetic value, trend following motivation as an extrinsic motivation and playfulness as an intrinsic motivation have significant influences on the service satisfaction of the AR-based camera application service. The results in this study have meanings since they can be used as references for AR service providers to develop more satisfactory AR services.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.33-39
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• 2019

Entering the 4^th industrial revolution, many technologies are developing and various threats are emerging. In order to cope with such threats, research is being conducted in many fields. Even in the development of various fields, the threats caused by the development of medical technology and intelligent vehicles are the threats to life due to misinformation about medical care and the threats to life by preventing the safe operation of people through intelligent vehicles. In this paper, as the patient's information is important, the private blockchain is used to increase the safety, efficiency, and scalability of the patient's medical records. We propose an information protection technique using blockchain technology to hack the car system and threaten the driver's life, solve privacy problems by identifying personal information and differences, and prevent forgery in the Internet of Things.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1539-1545
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• 2017

In this paper, we analyze and discuss the trend of the probability and statistics problems that have been made in the public secondary school teacher employment exam for mathematics teachers. In order to properly teach the national mathematics curriculum in 2015 in terms of content and function, we investigate the probability and statistics contents that a mathematics teachers should know. We also analyze the contents and trends of the items that have been submitted for 15 years in public secondary school teacher employment exam, and discuss the contents, scope, level and direction of the future contents. In conclusion, considering the significance of the Big Data in the 4th industrial revolution, the problems of statistical thinking of data and probability, exploratory data analysis, sample survey, and statistical inference are needed more.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.93-104
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• 2019

The ppuri industry is growing in technical importance due to the 4th industrial revolution and is growing steadily. However, securing skilled workers is hardly realistic, and foreign workers are increasing. The purpose of this study is to find organizational commitment on for improvement of in-role performance of foreigners and Koreans working in ppuri companies and to find ways to support differentiation through comparison between groups. The subjects of this study were foreigners and Koreans in the ppuri company. Through the survey, 393 valid samples were collected. We use structural equation modeling to verify the research hypotheses, and conducted a survey on the employees of organization with information security policy. The results showed that in the case of foreigners, balanced processing affects in-role performance through organizational commitment. In the case of Koreans, relational transparency, balanced processing, and internalized moral perspectives affect in-role performance through organizational commitment. The results of the analysis suggest a strategic approach to improve the in-role performance of each group.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.10-21
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• 2019

With the 4th industrial revolution, the traditional logistics is shifting to the smart logistics, and it has led to rapid growth of logistics startup companies to support smart logistics. They build their mobile applications and customize their services in the areas of freight transport, parcel delivery services, freight tracking, on-demand logistics, transport intermediary platforms, online-to-offline business, and last mile delivery. In order for logistics startup to be successful, it should lead to sales and profit through customer satisfaction and continuous use by developing highly usable mobile applications. The evaluation of usability of mobile application should use different evaluation criteria from Web based applications because of the inherent characteristics of mobile phone. The purpose of this study is to evaluate the usability of the mobile application provided by the logistics startup and to draw out implications and improvement plans. Through the literature review, we will review the concept of smart logistics. Thus we derive the usability criteria suitable for mobile applications and perform usability testing.