• Convergence Security Journal
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• v.18 no.3
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• pp.45-51
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• 2018

Recently, Crypto currency has evolved along with Blockchain technology and the voice of concern and concern of many people. Global nations that consider the use of Crypto currency are prudent in their protection of their economies due to legal regulations and institutional arrangements, and are watching the trends of various Crypto currency. Among them, Crypto currency is very popular because it can acquire money through cryptographic computation. However, there is a need to consider the impact of high-quality computing resources and the consumption of many electrical energy on global warming. Therefore, this study investigated the calculation of electric energy consumption and Carbon Dioxide Emissions, data and cases related to the mining of Crypto currency, examined variable factors. This will be used as research data that will respond to the 4th industrial revolution, such as the presentation of a more positive development direction of Crypto currency, and the development of various related technologies.

• Convergence Security Journal
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• v.18 no.3
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• pp.69-76
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• 2018

One of the most remarkable technologies in the era of the 4th industrial revolution is the interest in the field of smart cars. In the near future, it will not only be possible to move to a place where you want to ride a smart car, but smart cars, including artificial intelligence elements, can avoid sudden car accidents. However, as the field of smart automobiles develops, the risks are expected to increase. Therefore, based on the understanding of security vulnerabilities that may occur in smart car networks, we can apply safe information security technology using FIDO and attribute-based authorization delegation technique to provide smart car control technology that is safe and secure. I want to. In this paper, we show that the proposed method can solve security vulnerabilities by using secure smart car control technology. We will further study various proposals to solve security vulnerabilities in the field of smart car networks through future research.

• Smart Media Journal
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• v.10 no.2
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• pp.110-118
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• 2021

The Internet of Things (IoT) technology, a key growth engine of the 4th industrial revolution, has grown to a stage where it can autonomously communicate with each other and process data according to space and circumstances. Accordingly, the IT infrastructure becomes increasingly complex and the importance of the monitoring field for maintaining the system stably is increasing. Monitoring technology has been used in the past, but there is a need to find a flexible monitoring system that can respond to the rapidly changing ICT technology. This paper conducts research on designing and testing an open source-based Prometheus monitoring system. We builds a simple infrastructure based on IoT devices and collects data about devices through the Exporter. Prometheus collects data based on pull and then integrates into one dashboard using Grafana and visualizes data to monitor device information.

• Journal of Creative Information Culture
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• v.7 no.2
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• pp.99-109
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• 2021

As the era of the 4th industrial revolution began and the importance of software emerged, education also reflected this. Software education has already been provided in several countries, and Korea also started software education in the regular curriculum in 2019, when the 2015 revised curriculum was applied. This study attempted to present an improvement plan for revitalizing software education based on the feelings and difficulties of teachers who conducted software education for the first time in the practical education curriculum in elementary school. For the study, a survey was conducted on 96 teachers in charge of software education in elementary schools in 2019 with 36 questions related to personal competency, class operation method, textbooks and educational materials, class operation content, and educational environment. And three of them were interviewed. As a result improvements are needed, such as improving educational facilities and environment, revitalizing the development and dissemination of high-quality instructional materials, and expanding support for participatory training for teachers and teacher clubs.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.76-83
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• 2021

According to the rise of the 4th Industrial Revolution, the need for innovation networks through cooperation between participants is increasing to respond to rapidly changing technologies and corporate environments. Especially, cooperation is essential to solve and innovate problems faced SMEs lacking human and material resources. We conducted a study to revitalize the regional cooperation network by analyzing the current status and problems of the existing SME support network. As a result, We derived a strategy to create a foundation for a regional cooperation network through reorganization of existing cooperation networks, the establishment of customized policies for SMEs, and linkage of support projects. And we derived a strategy for establishing a specialized network for regional innovation as a result of research through Establishing a network for regional bases, strategies for fostering companies by growth stage, and utilizing local data. We expect that it will help establish a policy to support SMEs by preparing an organic cooperation system between local businesses and local networks.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1797-1808
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• 2021

Artificial intelligence is considered one of the core technologies leading the 4th industrial revolution. It is adopted in various fields bringing about a huge paradigm shift throughout our society. The field of biotechnology is no exception. It is undergoing innovative development by converging with other disciplines such as computers, electricity, electronics, and so on. In drug discovery and development, big data-based AI technology has a great potential of improving the efficiency and quality of drug development, rapidly advancing to overcome the limitations in the existing drug development process. AI technology is to be specialized and developed for the purpose including clinical efficacy and safety-related end points based on the multidisciplinary knowledge such as biology, chemistry, toxicology, pharmacokinetics, etc. In this paper, we review the current status of AI technology applied for drug discovery and consider its limitations and future direction.

• Journal of Platform Technology
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• v.11 no.3
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• pp.76-82
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• 2023

Starting from the 4th industrial revolution, core technologies were applied to industries to build various smart environments. Smart factories in the manufacturing industry produce high-quality products by applying IIoT as a core technology that can collect and control a wide range of data for customized production. However, the network environment of the smart factory converted to open through IIoT was exposed to various security risks. In accordance with security breaches, IIoT has shown degradation in the quality of manufactured products and production processes due to network disturbance, use and maintenance of forged IIoT, and can cause reliability problems in business. Accordingly, in this study, a method for safe connection and utilization of IIoT was studied during the initial establishment of a smart factory. Specifically, a study was conducted to check the IIoT connection situation so that the practicality of the IIoT connected to the smart factory could be confirmed and the harmless environment established.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.296-297
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• 2022

A smart port refers to a port built based on digital technologies such as IoT, big data, AI, and block chain, and refers to a port that minimizes waste of time, space and resources as the only means of survival of the port. Sustainability refers to 'environmental, economic, and social characteristics that enable people to continue to use the environment, ecosystem, or publicly used resources'. It contains the meaning of 'future sustainability' that can be maintained in the future. In the face of the 4th industrial revolution, interest and realization of smart port construction and sustainability are actively progressing around the world. In this study, core indicators of the ESG (Enviornment, Social, Governance) area, which are key elements of sustainable smart ports, were developed,

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.761-768
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• 2023

In the 4th Industrial Revolution, AI(Artificial Intelligence) and IoT(Internet of Things) technologies are being applied to across various fields, with particularly prominence in asset management, disaster management, and meteorological observation. In these fields, it is necessary to accurately determine the real-time and precise tracking of the object's location and status, and to collect various data even in situations that are difficult to detect with existing sensors. In order to address these demands, the use of GNSS(Global Navigation Satellite System) is essential, and this technology enables the efficient management of assets, disaster prevent and response, and accurate weather forecasting. In this paper, we provide the investigated results for the latest trends in the application of GNSS in the fields of asset management, disaster management, and weather observation, among various fields incorporating AI and IoT and analyze them.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.19-24
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• 2020

Artificial intelligence technology, which is the core of the 4th industrial revolution, is making intelligent judgments through deep learning techniques and machine learning that it is impossible to predict if it is applied to stock prediction beyond human capabilities. In US fund management companies, artificial intelligence is replacing the role of stock market analyst, and research in this field is actively underway. In this study, we use BLSTM to reduce errors that occur in unidirectional prediction of the existing LSTM method, reduce errors in predictions by predicting in both directions, and macroscopic indicators that affect stock prices, namely, economic growth rate, economic indicators, interest rate, analyze the trade balance, exchange rate, and volume of currency. To help stock investment by accurately predicting the target price of stocks by analyzing the PBR, BPS, and ROE of individual stocks after analyzing macro-indicators, and by analyzing the purchase and sale quantities of foreigners, institutions, pension funds, etc., which have the most influence on stock prices.