• Information and Communications Magazine
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• 제33권5호
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• pp.12-19
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• 2016

미래의 IoT, 클라우드 빅데이터, 모바일 환경에서 퍼베이시브 정보통신(Pervasive information network)은 우리 사회에 스며들어 다양한 기기를 통해 접근한다. 이를 실현하기 위해, 새로운 네트워크 아키텍처와 서비스 플랫폼이 요구된다. 현재의 네트워크 환경에서 이러한 형태의 퍼베이시브 정보통신을 지원하는 것은 매우 어렵다. 실제 환경과 가상 공간 사이의 간극을 극복하기 위한 연구는 도전적인 주제이다. 관련 연구 결과 중 가장 발전된 형태의 성과를 보이는 것으로 일본 AKARI 프로젝트와 유럽 FP6 BIONETS 프로젝트가 있다. AKARI 프로젝트는 차세대 네트워크의 구현을 목표로 하고 있으며, 이를 위해 완전히 새로운 형태의 미래인터넷 아키텍처를 설계했다. BIONETS 프로젝트는 미래인터넷 환경에서의 새로운 서비스 프레임워크를 확립했다. 이러한 프로젝트의 연구 및 결과물 융합을 통해 미래 사회에 기여할 수 있는 보다 발전된 형태의 네트워크를 준비한다.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2021년도 학술발표회
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• pp.477-477
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• 2021

지구온난화로 인한 집중호우 및 태풍의 발생 횟수와 강도가 증가함에 따라 홍수피해가 증가하고 있으며, 특히 도로침수는 피해 측면에서 '복구-보상' 중심의 사후처리 체계에서 벗어나 '예방-대응-관리'를 통한 사전 재난대응 체계로 정책 전환이 요구되고 있다. 이에, 도로침수관련 재난정책의 기반기술이 될 수 있는 '도로침수 실시간 예측·감시 및 운영 기술'을 경상남도 진주시를 대상으로 침수피해 관련 지역현안을 해결하고자 하며, 강우예측자료를 활용한 침수해석, CCTV영상을 이용한 AI기반 실시간 침수감시, 공간 빅데이터 기반 침수정보제공, e-SOP 등 다양한 기술이 융합된 실증 연구로 이루어진다. 본 연구결과물이 실용화되어 도로침수통합관리시스템으로 운영된다면 지역 수재해 대응력 향상에 기여할 것으로 판단된다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 한국항해항만학회 2019년도 추계학술대회
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• pp.125-126
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• 2019

스마트농장과 스마트양식장으로 구분하여 첨단 정보통신기술(ICT), 사물인터넷(IoT), 인공지능(AI) 그리고 빅데이터 등이 적용된 국내외 스마트농장과 스마트양식장 사례와 해수를 이용한 해수온실의 사례 그리고 플로팅 팜과 스마트 플로팅 팜의 계획안 및 실제 사례를 분석했다. 사례분석을 통해 스마트 플로팅 팜에 적용되는 다양한 종류의 시스템을 분류하여 해수복합형 시스템 개념을 도출해냈다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 한국항해항만학회 2022년도 추계학술대회
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• pp.257-259
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• 2022

디지털트윈 기술은 실제의 공간과 사물을 디지털상에 복제함으로써 사용자의 최적 운영을 위한 시뮬레이션과 최적화, 모니터링을 제공한다. 4차 산업혁명이 진행됨에 따라 해상물류 분야에서도 자율주행 선박과 관련한 사물인터넷, 빅데이터, 혼합현실(MR) 등 여러 첨단기술의 적용이 검토되고 있다. 또한 자율운항선박이 도입됨에 따라 선원의 업무가 자동화되며 육상 지원의 비중이 늘어나며, 완전 자율운항선박의 경우 선박의 모든 제어가 육상에서 이루어지게 된다. 따라서 육상지원자가 선박을 모니터링하고 최적 운영하기 위해 선박의 디지털트윈 모델의 개발이 필요하다. 따라서 선박에 적용가능한 디지털트윈 아키텍처를 구성하고 이를 기반으로 클라우드 기반의 혼합현실 프로토타입 애플리케이션을 개발했다. 이를 통해 본 논문에서 제안한 디지털 트윈 아키텍처를 활용하여 선박의 디지털 트윈 시스템을 구현할 수 있음을 확인하였다.

• Journal of Satellite, Information and Communications
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• 제10권2호
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• pp.40-45
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• 2015

In this paper, we proposed and implemented a crime prediction algorithm based upon crime influential factors. To collect the crime-related big data, we used a data which had been collected and was published in the supreme prosecutors' office. The algorithm analyzed various crime patterns in Seoul from 2011 to 2013 using the spatial statistics analysis. Also, for the crime prediction algorithm, we adopted a Bayesian network. The Bayesian network consist of various spatial, populational and social characteristics. In addition, for the more precise prediction, we also considered date, time, and weather factors. As the result of the proposed algorithm, we could figure out the different crime patterns in Seoul, and confirmed the prediction accuracy of the proposed algorithm.

• Informatization Policy
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• 제30권1호
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• pp.89-108
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• 2023

Science, technology and innovation (STI) has expanded the activity of actors from the traditional physical territory to the cyberspace. Data-driven platform services and markets advance new discussions on cross-border cooperation and cyber security, as well as discourse on sovereignty in cyberspace. These changes are also affecting the hegemony competition between the US and China. In particular, competition for aid to developing countries that are located along major resource transportation routes, such as natural gas and deep sea resources, is fierce. ASEAN is not only a geopolitical military and security point where the US and China powers collide, but its population of 600 million has great potential for the development of the digital economy due to its data resources. In this regard, this article aims to connect the discourse of liberalism and authoritarianism with data regulation and cybersecurity in international development cooperation, and derive implications for ASEAN integration through this. This study has significance as a convergence study that links international political issues related to big data in terms of global governance.

• Journal of Convergence for Information Technology
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• 제10권10호
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• pp.1-8
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• 2020

The need for storage, management, and retrieval techniques for alternative data has emerged as technologies based on data generated from business activities conducted by enterprises have emerged as the key to business success in recent years. Existing big data platform systems must load a large amount of data generated in real time without delay to process unstructured data, which is an alternative data, and efficiently manage storage space by utilizing a deduplication system of different storages when redundant data occurs. In this paper, we propose a multi-layer distributed data deduplication process system using the similarity of the Cuckoo hashing filter technique considering the characteristics of big data. Similarity between virtual machines is applied as Cuckoo hash, individual storage nodes can improve performance with deduplication efficiency, and multi-layer Cuckoo filter is applied to reduce processing time. Experimental results show that the proposed method shortens the processing time by 8.9% and increases the deduplication rate by 10.3%.

• Journal of the Korean Association of Geographic Information Studies
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• 제24권4호
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• pp.136-147
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• 2021

Autonomous driving-related technologies are developing step by step by applying the degree of driving. It is essential that operational management technology for roads where autonomous vehicles move should also develop in line with autonomous driving technology. However, in the case of road operation management, it is currently managed using only two-dimensional information, showing limitations in the systematic operation management of lane and facility information and maintenance. This study proposed a plan to construct an operation management system architecture capable of 3D spatial information-based operation management by designing a convergence database that can process real-time big data with high-definition road map data. Through this study, when using a high-definition road map based operation management system for lane and facility maintenance in the future, it is possible to visualize and manage facilities, edit and analyze data of multiple users, link various GIS S/W and efficiently process large scale of real-time data.

• Journal of Digital Convergence
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• 제12권12호
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• pp.313-321
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• 2014

In current society, the digital era that makes enormous amount of data, and the diversified city, the smart space, which has characteristics of creating, collecting and representing data, is appeared. After 2012, in the social media environment called hyper-connected society with wide-spread smart phone, people started to get interested in public data and big data by generalized mobile device and SNS. At first, development of forming platform of data was focused, but now, many different idea from diverse area have been suggested about data analysis and usage to visualize the space intellectualization service. To focus on the visualization process to increase the usage of this public data for ordinary people more than specialized people, this research grasps the present condition of open data and public data service from the current public data portal and considers the applicability of them. As the result of research, the analysis and application of data to ordinary people decrease the use of paper documents, and this research will help to develop the application which is fast and accurate about individual behavior and demand to utilize public data service in intellectual space.

• The Journal of the Convergence on Culture Technology
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• 제8권5호
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• pp.705-712
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• 2022

The pandemic over the past three years has brought drastic changes in our lives, and those changes are now becoming a natural part of our daily lives. Daily life and economic activities based on online, such as video conferencing, remote classes, telecommuting, and online streaming services, have become daily routines after Corona. And the result of rapid development of communication and graphic technology is the metaverse. Therefore, the purpose of this study is to study the possibility from the perspective of public design for the correct use of the metaverse space of local governments. To this end, in this study, big data analysis was performed on 'local government', 'public design', and 'metaverse'. As a result of this study, we should actively use metaverse with high topic and potential as a space for local governments' promotion or discussion as a means to restore the reliability of local governments and overcome negative perceptions. In addition, it is necessary to actively reflect public design in order to increase the public reliability of local governments' metaverse.