• Electronics and Telecommunications Trends
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• v.32 no.6
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• pp.66-72
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• 2017

The frequency range of a radio wave is from 3kHz to 300GHz, and radio technologies use this range to improve the quality of human lives. Radio technologies have entered a new phase of communication. The core infrastructure used as the basis for technologies leading the fourth industrial evolution, such as artificial intelligence, the Internet of Things, autonomous cars/drones, augmented reality, robots, and remote medical diagnoses, is the 5G network. The 5G network enables transmitting and receiving large amounts of data at very high speed. In particular, application technologies with artificial intelligence have been studied, including radar, wireless charging, electromagnetic devices and their effects on humans, EMI/EMC, and microwave imaging. In this study, we present a future radio technology that is needed to prepare for the upcoming industrial revolution and digital transformation.

• Proceedings of the Korean Society of Crop Science Conference
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• 1998.10a
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• pp.353-367
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• 1998

Information Technology(IT) in agriculture will contribute to the agricultural productivities and cultures in farm areas. On the basis of the information and knowledge infra structure, If projects and applications in agriculture have grown up rapidly in past few years, but still being requested more endeavors for each sections of agriculture. Specially, Internet and Information Super High-way Network Techniques will brings many changes in the area of agricultural research and dissemination. In this paper, the current status and future prospects of If in the agriculture field was referred to briefly.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.98-103
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• 2021

Recently, as the need for food resources has increased both domestically and internationally, support for the agricultural sector for stable food supply and demand is expanding in Korea. However, according to recent media articles, the biggest problem in rural communities is the unstable profit structure. In addition, in order to confirm the profit structure, profit forecast data must be clearly prepared, but there is a lack of auxiliary data for farmers or future returnees to predict farm income. Therefore, in this paper we analyzed data over the past 15 years through time series analysis and proposes an artificial intelligence farm income prediction algorithm that can predict farm household income in the future. If the proposed algorithm is used, it is expected that it can be used as auxiliary data to predict farm profits.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.75-83
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• 2018

Predictive IoT Sensor Algorithm is a technique of data science that helps computers learn from existing data to predict future behaviors, outcomes, and trends. This algorithm is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. Sensors and computers collect and analyze data. Using the time series prediction algorithm helps to predict future temperature. The application of this IoT in industrial environments like power plants and factories will allow organizations to process much larger data sets much faster and precisely. This rich source of sensor data can be networked, gathered and analyzed by super smart software which will help to detect problems, work more productively. Using predictive IoT technology - sensors and real-time monitoring - can help organizations exactly where and when equipment needs to be adjusted, replaced or how to act in a given situation.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.147-152
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• 2019

This study aims to explore the understanding of and the interest in realistic digital contents and examine their effectiveness, by implementing and applying VR around the science subject in middle schools. It organized each group of two for cooperative activities, in order to implement VR for 52 middle school students located at Y-county, who understood study contents and agreed to participate in the study. Then, it implemented and applied realistic digital contents regarding a change in the science geosphere and many kinds of forces, by extracting and designing them. As they implemented and applied VR around contents interest in science subject. VR assisted lessons made statistically significant differences in understanding and effectiveness of realistic digital contents. It will provide basic data used to cultivate future talents who can prepare for a change in the educational paradigms along with the fourth industrial revolution and adapt to the future knowledge-based society.

• Electronics and Telecommunications Trends
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• v.38 no.3
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• pp.20-28
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• 2023

Wireless communication technology has mainly been used to fulfill the demands of industrial sites at which performance is not a critical concern. However, ongoing discussions and efforts are now focused on securing core wireless communication technologies to enable the transformation or expansion of wired industrial IoT (Internet of Things) network technology into a flexible and dynamic smart manufacturing system. This paper provides an overview of current wireless industrial IoT network technology and the recent wireless time-sensitive networking technology. It outlines the challenging level of reliability required for wireless communication technology to coexist with or replace its wired counterpart in future smart manufacturing systems. Additionally, we introduce ultra-reliable time deterministic network as the core technology of wireless industrial communications and focus on its reliability and delay characteristics.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.44-48
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• 2015

Housing price is a key indicator of housing demand. Actual Transaction Price Index of Apartment (ATPIA) released by Korea Appraisal Board is useful to understand the current level of housing price, but it does not forecast future prices. Big data such as the frequency of internet search queries is more accessible and faster than ever. Forecasting future housing demand through big data will be very helpful in housing market. The objective of this study is to develop a forecasting model of ATPIA as a part of forecasting housing demand. For forecasting, a concept of time shift was applied in the model. As a result, the forecasting model with the time shift of 5 months shows the highest coefficient of determination, thus selected as the optimal model. The mean error rate is 2.95% which is a quite promising result.

• Educational Technology International
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• v.10 no.2
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• pp.85-105
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• 2009

National support for use of IPTV in school has increased for the purpose of enhancing public education. As a convergence media, IPTV is expected to create a better and more successful learning experience with individualized content and advanced technology. While the potential benefits of IPTV have been discussed in different perspectives, we cannot fully benefit from new media without careful preparation and pedagogical consideration. Therefore, purpose of this study was to investigate educational use and applicability of IPTV in Korea. First, it redefines the concept and characteristics of IPTV in an educational context. Second, it identifies the main issues and considerations in practice. Lastly, the paper discusses guidelines for future tasks to facilitate the educational use of IPTV in terms of educational application, technological issues (e.g., LMS, set-top box), and content development.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.172-177
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• 2023

The main purpose of the research was to review the global trends of airport's smart security technologies. Moreover, using the case studies of airport using smart security, this paper tried to propose the implication how the findings through the case studies may be important for airport policy and will impact the future research of airport operation. It is expected in the future the aviation security technology with biometric information evolves from single identification to multiple identification technology which has combined application of iris, vein and others. Facing post COVID-19 era, the number of passengers traveling through airports continues increase dramatically and the risks as well, the role of AI becomes even more crucial. With AI based automated security robotics airport operators could effectively handle the growing passenger and cargo volume and address the associated issues Smart CCTV analysis with A.I. and IoT applying solutions could also provide significant support for airport security.

• Annual Conference of KIPS
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• 2024.05a
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• pp.290-293
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• 2024

최근 IoT (Internet of Things, IoT) 기기가 전 산업과 일상 생활에 활용되면서 취약점 탐지 기술이 중요해지고 있다. 그러나 리소스가 제약적인 IoT 기기에는 종래의 퍼징 기술을 적용하기 어렵다. 본 논문에서는 경량화 IoT 환경에서 퍼징 기술을 적용하기 위한 테스트케이스 선택 기법을 제안했다. 실험 결과에 따르면, 제안하는 방식은 무작위 입력을 생성하여 퍼징하는 종래 퍼저보다 평균 61.49% 빠르게 취약점을 탐지했다.