• Convergence Security Journal
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• v.19 no.1
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• pp.121-126
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• 2019

The big data utilization category in the sports field was mainly focused on the big data analysis to improve the competence of the athlete and the performance. Since then, 'big data technology' which collect and analyze more detailed and diverse data through the application of ICT technology such as IoT and AI has been applied. The use of big data of sports contents in future has value and possibility in the smart environment, but it is necessary to overcome the shortage and limitation of platform to manage and share sports contents. In order to solve such problems, it is important to change the perception of the companies or providers that provide sports contents and cultivate and secure professional personnel capable of providing sports contents. Also, it is necessary to implement policies to systematically manage and utilize big data poured from sports contents.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.611-622
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• 2020

As the advancement of technologies on indoor positioning systems and measuring devices such as LiDAR (Light Detection And Ranging) and cameras, the demands on analyzing and searching indoor spaces and visualization services via virtual and augmented reality have rapidly increasing. To this end, it is necessary to model 3D objects from measured data from real-world structures. In addition, it is important to store these structured data in standardized formats to improve the applicability and interoperability. In this paper, we propose a method to construct IndoorGML data, which is an international standard for indoor modeling, from point cloud data acquired from LiDAR sensors. After examining considerations that should be addressed in IndoorGML data, we present a construction method, which consists of free space extraction and connectivity detection processes. With experimental results, we demonstrate that the proposed method can effectively reconstruct the 3D model from point cloud.

• Journal of Advanced Navigation Technology
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• v.26 no.4
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• pp.244-248
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• 2022

The various digital services that people are experiencing recently are bringing about changes in the daily lives, and these changes are due to the spread of the Fourth Industrial Revolution. The 4th Industrial Revolution is based on the development of ICT technology, and ICT technology inevitably generates issues such as the use and protection of personal information as well as the use of public data. Accordingly, countries around the world are making efforts to revitalize new industries by wisely solving conflicting issues between the use and protection of personal information through legislation. There are some differences in the protection and use of personal information in Korea, the United States, and the EU. Korea trys to make the legislation that prioritizes the use of data, and the United States establishes individual laws governing the protection of personal information by sector, while the EU has clarified the strengthening personal information protection. This paper aims to find out how personal information protection is defined in Korea, the United States, and the EU through enacted laws and organize the direction of the future policies.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.87-99
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• 2021

As face-to-face social exchanges are limited by the pandemic, the influence of the metaverse, a virtual space crosses virtual and reality, is gradually expanding. Various metaverse platforms are currently taking advanced AI technology to provide users with a more diverse experience. However, as a result, if AI-human communion in the metaverse space is as active as the relationship between humans, this may lead to side effects that threaten humanity. This study emphasized the value of empathy as a way to minimize the side effects, and suggested that the concept and role of empathy need to be expanded. Accordingly, we conducted an empirical study to examine the difference between social relationship in the metaverse and in real life at the current level, and based on the results, we predicted the future social relationship in the environment where AI was applied to the metaverse. Combining the study, we proposed "Digital Human Empathy" for human dignity in the digital age.

• Electronics and Telecommunications Trends
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• v.36 no.2
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• pp.43-55
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• 2021

National and social issues are becoming increasingly common, but traditional policy-making methods are no longer effective. Therefore, evidence-based policy making is emerging as an alternative paradigm. Digital twin technology is one of the digital support tools for the new data-driven policy-making process. This study presents ongoing government experiments in the world where digital twin technology is applied to policy making and describes our experience in developing digital twin platforms in Sejong-the de facto administrative capital of South Korea.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.49-56
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• 2023

Currently, e-commerce is changing from a digital twin to a metaverse world. The metaverse world is an intermediate form between virtual and real worlds and is operated as a coin-based meta-commerce. In this meta-commerce world, blockchain-based NFT coins are used when trading items (contents). In this study, we studied how to issue a large number of NFT coins (certification) rather than issuing a single type of NFT. The research method was designed to produce content layer-based and automatically create the desired quantity using a mass NFT index and automatic generation method. In this study, a layer overlap method (background, body, etc.) was used with a Phyton-based program for mass minting. As a result, it can be used as a blockchain-based certificate that can prove a group of many people. In addition, the content created with the NFT index was registered on the NFT sales site to confirm its utilization and value.

• Smart Media Journal
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• v.11 no.9
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• pp.56-63
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• 2022

Recently, the frequency and range of algae occurrence in major rivers and lakes are increasing due to the increase in water temperature due to climate change, the inflow of excessive nutrients, and changes in the river environment. Abnormal algae include green algae and red algae. Green algae is a phenomenon in which blue-green algae such as chlorophyll (Chl-a) in the water grow excessively and the color of the water changes to dark green. In this study, a 3D virtual world of digital twin was built to monitor and control water quality information measured in ecological rivers and lakes in the living environment in real time from a remote location, and a sensor measuring device for water quality information based on the Internet of Things (IOT) sensor. We propose to build a smart water environment service platform that can provide algae warning and water quality forecasting by predicting the causes and spread patterns of water pollution such as algae based on AI machine learning-based collected data analysis.

• Journal of Information Technology Services
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• v.22 no.2
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• pp.41-56
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• 2023

Metaverse is a three-dimensional virtual space where virtual and reality interact and co-evolutionize, and social, cultural, and economic activities are carried out in it to create value. Among the types of metaverse, the virtual world metaverse is expected to bring innovation beyond time and space in all areas of industry and society following the Internet. This study empirically analyzed factors affecting consumer's intention to use the virtual world metaverse by an innovation diffusion perspective. It was analyzed as an expanded technology acceptance model by setting relative advantages, ease of use, and visibility among the attributes of the innovation diffusion, and social presence, telepresence, and interactivity among the characteristics of the virtual worlds as factors. The proposed research model and hypothesis were verified through a PLS structural equation analysis based on a survey of 216 people. Studies have shown that relative advantage, telepresence, and interactivity have a significant effect on perceived usefulness and perceived enjoyment, but visibility does not have a significant effect on perceived usefulness and perceived enjoyment. It was found that ease of use had a positive effect on perceived enjoyment, social presence had a positive effect on perceived usefulness, and perceived usefulness and perceived enjoyment had a positive effect on the intention to use, respectively. This study is meaningful in that it empirically analyzed the factors affecting the intention to use the virtual world metaverse by dividing the psychological characteristics that induce consumer behavior into perceived usefulness which is an extrinsic motivation and perceived enjoyment which is an intrinsic motivation.

• Journal of the Korea Society of Computer and Information
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• v.14 no.5
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• pp.93-102
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• 2009

Environmental monitoring applications measure temporature, humidity, and pollution degrees of large areas periodically and are essential for ubiquitous society. In this paper, we propose a sensor network MAC protocol that is applicable to environmental monitoring applications. The proposing MAC protocol has scalability by constructing multiple groups of sensor nodes as in SMAC protocol. Differently from SMAC protocol, however, ours have hierarchical structure between adjacent groups. Data transmission schedules are efficient since lower groups are synchronized to higher groups. Thus. the end-to-end delays and energy consumption can be reduced due to sequential transmission schedules. But since the nodes within the same group are synchronized to themselves. they have good adaptability and scalability compared to existing hierarchical approaches such as DMAC. We show by simulations that the proposing MAC protocol is superior to SMAC for environmental monitoring applications.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.351-351
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• 2021

저수지에 대한 비상대처계획수립은 최근 기상이변 등에 따른 대규모 호우가 빈번히 발생하고 있을 뿐만 아니라 세계 도처에서 대규모 지진 등으로 많은 인명과 재산 피해가 속출함에 따라 지진 및 이상홍수에 대한 저수지의 안정성 평가를 수행하고 저수지 지점에서 발생할 수 있는 천재지변 또는 예상치 못한 대규모 재해에 효율적으로 대처하기 위한 비상상황의 등급 및 위험수준을 체계적으로 판단하고 비상상황 가상 시나리오별 체계적 행동요령 및 대처계획을 수립하여 저수지 붕괴에 따른 대규모 홍수피해 예상지역 주민들의 신속한 대응으로 생명과 재산피해를 최소화하는데 목적이 있다. 현행 한국농어촌공사 및 지자체에서 수립하고 있는 30만 톤 이상 저수지에 대한 1차원 모형 기반의 EAP수립은 침수구역을 산정할 때 수치지도에 의한 단일 침수심 분석으로 실제 침수구역과는 많은 오류가 나타난다. 이는 침수구역 부정확에 따른 피해복구액 산정이 과다로 책정될 수 있고, 마지막으로 가장 중요한 비상대처계획 수립에 막대한 영향을 미친다. 이에 본 연구는 댐 붕괴에 대응하기 위한 EAP 수립 시 기본이 되는 홍수범람해석을 수행하고 1차원 및 2차원 모형의 결과검토를 통해 보다 효과적인 비상대처계획의 수립을 위한 방안을 제시하고자 하였다. 이를 위해 경천저수지 유역을 대상으로 가능최대강수량 조건 하에서 가능최대홍수량을 산정하고 DAMBRK 모형을 이용하여 댐 붕괴 모의를 위한 시나리오 구성 및 모의를 수행하였다. 이후 댐 붕괴 모의결과를 이용하여 WMS(Watershed Modeling System) 모형을 이용한 1차원 홍수범람해석과 FLUMEN(FLUvial Modeling ENgine) 모형을 이용한 2차원 홍수범람해석에 적용 후 각 결과를 비교·검토하였다.