• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권4호
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• pp.1123-1146
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• 2023

In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.

• Journal of Information Processing Systems
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• 제12권4호
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• pp.711-723
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• 2016

With the rapid development of both ubiquitous computing and the mobile internet, big data technology is gradually penetrating into various applications, such as smart traffic, smart city, and smart medical. In particular, smart medical, which is one core part of a smart city, is changing the medical structure. Specifically, it is improving treatment planning for various diseases. Since multiple treatment plans generated from smart medical have their own unique treatment costs, pollution effects, side-effects for patients, and so on, determining a sustainable strategy for treatment planning is becoming very critical in smart medical. From the sustainable point of view, this paper first presents a three-dimensional evaluation model for representing the raw medical data and then proposes a sustainable strategy for treatment planning based on the representation model. Finally, a case study on treatment planning for the group of "computer autism" patients is then presented for demonstrating the feasibility and usability of the proposed strategy.

• 한국지리정보학회지
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• 제24권2호
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• pp.1-11
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• 2021

최근 정부는 지역특화형 스마트도시서비스(이하 스마트서비스)의 구축과 시민 체감도 향상을 위해 스마트도시사업에 지역의 사용자인 시민들의 참여를 점차 확대해가고 있다. 하지만, 스마트서비스 관련 기술에 대한 정보 부족으로 스마트서비스 구상 과정에서 시민들로부터 구체적인 수준의 의견을 도출하기에는 한계가 있었다. 이에 본 연구는 2019년 '스마트타운 챌린지 사업'으로 선정된 지자체 4곳의 보고서를 검토하여 리빙랩을 통해 스마트서비스에 대해 시민 의견의 구체화 수준을 진단하였다. 분석 결과, 리빙랩과정에서 다양한 디자인사고기법을 활용하여 스마트서비스 계획수립에 참여하였지만, 시민이 스마트서비스의 구체적인 기능을 구상하는 단계에 이르기는 한계가 있었다. 이에 본 연구에서는 스마트서비스의 정보수집, 가공, 제공 방법, 기술 등 4가지 요소와 서비스의 콘텐츠 등을 모듈한 후 이를 자유롭게 조합하여 활용 가능한 기능카드 기법을 제시하였다. 이렇게 개발된 기능카드 기법은 효과성 검증을 위해 실제 진행 중인 스마트도시사업에 적용하여 보았다. 이를 통해 기능카드가 시민들이 스마트서비스의 기능과 콘텐츠를 조합하여 상세 기능 수준으로 스마트서비스를 구체화 할 수 있도록 도움을 주고 있음을 확인하였다. 본 연구에서 제시한 기능카드 기법은 시민참여형 스마트도시 계획에서 시민들이 지역 문제해결을 위한 의견을 구체화하여 지역특화 스마트서비스를 구상하는 공동창의자로서의 역할을 수행하는데 기여할 것으로 기대한다.

• 한국전자통신학회논문지
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• 제11권9호
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• pp.827-840
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• 2016

최근 들어 본격적으로 스마트사회가 시작되고 유비쿼터스 시대로 진입하는 등 정보통신기술의 급격한 변화에 따른 새로운 패러다임의 도래는 빅데이터를 활용한 유비쿼터스 행정공간정보화측면에서 주목할 만한 전환점이 되고 있다. 따라서 본 연구는 미래예측방법으로 많이 활용되고 있는 시나리오 플래닝 방법론을 적용하여 부산에코텔타시티의 수질오염과 이에 따른 재난방재차원의 유비쿼터스 행정공간정보화에 대한 바람직한 미래상을 도출하였다. 곧 더욱 진화될 스마트사회와 유비쿼터스 시대에 합당한 스마트생태도시를 구현하는 도시재난방재정보화의 상대적 미래우위전략을 찾고자, 빅데이터 행정공간정보화 방재시스템을 제안하였으며, 부산에코델타시티를 위한 성공적인 빅데이터 수질오염 및 재난방재정보화 전략을 도출하였다. 결국 빅데이터와 빅데이터 시스템 활용이 더욱 심화될 2030년 무렵에 우리나라의 도시재난방재정보화 수준이 지금보다 수준 높은 위상을 확립하기 위해서는 앞으로 부산에코델타시티와 같은 스마트생태도시에서 유기적으로 기능하는 선진적인 빅데이터 행정공간정보화 ICT수질오염방재시스템 마련이 중요하다.

• 토지주택연구
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• 제11권1호
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• pp.103-108
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• 2020

Autonomous things system is a technology that judges and acts based on using surrounding information by itself, and it is evaluated as a future technology that can replace the current IoT technology. The current IoT technology is widely used from facility monitoring to machine control but it is shown weakness as a evaluation and prediction technique despite of smart city important technology. In this study, in order to confirm the application of the autonomous things technology, a monitoring system was installed on a real reservoir dam facility and long-term monitoring was performed that the measuring device itself judges and control as a facility monitoring technology. The autonomous things technology was confirmed during 19 months and it is possible to continuous measurement in the same way as current automated instrumentation. In addition, it was confirmed that the ICT device itself could to control autonomously measurement cycle according to the rainfall by itself.

• 지식경영연구
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• 제20권1호
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• pp.155-174
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• 2019

Variety of data have been opened or connected by several levels of government. In smart city initiatives, open data become the source of a new business model. This paper is to foster ways of public open data (POD) by analyzing the start-up company that utilizes POD. In order to fulfill it, this paper adapts the case study research. Findings say that POD has potential to validate and further enrich the platform business. But to find which types of public open data are most prevalent is insufficient. To do this, it is more needed that sophisticated and many cases should be examined. However, this paper shows that platform business by using POD could lead to reduce the cost and increase the benefits for both providers and customers. From the findings, this paper shows that public open data has an important role not only to boost new venture creations which are prevalent ways of smart city but also to foster different platforms enabling new value capture and creation according to development of internet of things based on ICT technology.

• Earthquakes and Structures
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• 제21권6호
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• pp.653-667
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• 2021

In this study, cyclic loading tests were conducted on the precast concrete (PC) wide beam (WB)-column joints. Two beam-column joint specimens were fabricated with the arrangement and anchorage details of the reinforcing bars penetrating the beam and column as variables. Through a cyclic loading test, the lateral load-story drift ratio responses, seismic performance characteristics (e.g., ductility, overstrength factor), energy dissipation, strength and stiffness degradations of each specimen were compared and analyzed based on the various indices and the current structural codes (ACI 318-19 and ACI 374.1-05 report). In addition, the shear lag effect was confirmed through the gauge values of the PC beam, and the differences in seismic performance between the specimens were identified on that basis.

• Steel and Composite Structures
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• 제43권2호
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• pp.153-164
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• 2022

In this study, a series of cyclic loading tests were performed on viscoelastic dampers (VED) composed of viscoelastic polymer composite material and thin steel plates to observe the variation of the mechanical properties under different loading conditions. A mathematical model was developed based on the Kelvin-Voigt and Bouc-Wen models to formulate the nonlinear force-displacement relationship of the viscoelastic damper. The accuracy of the proposed mathematical model was verified using the data obtained from the tests. The mathematical model was applied to analyze a reinforced concrete framed structure retrofitted with viscoelastic dampers. Nonlinear dynamic analysis results showed that the average maximum inter-story drift ratios of the retrofitted structure met the target limit state after installing the VED. In addition, both the maximum and residual displacements were significantly reduced after the installation of the VED.

• 인터넷정보학회논문지
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• 제24권1호
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• pp.17-26
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• 2023

A smart city is a massive internet of things (IoT) environment, where all terminal devices are connected to a network to create and share information. In accordance with massive IoT environments, millions of IoT devices are connected, and countless data are generated in real time. However, since heterogeneous IoT devices are used, collecting the logs for each IoT device is difficult. Due to these issues, when an IoT device is invaded or is engaged in malicious behavior, such as infection with malware, it is difficult to respond quickly, and additional damage may occur due to information leakage or stopping the IoT device. To solve this problem, in this paper, we propose identifying the attack technique used for initial access to IoT devices through MITRE ATT&CK, collect the logs that can be generated from the identified attack technique, and use them to identify the cause of malware infection.

• Steel and Composite Structures
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• 제50권3호
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• pp.337-345
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• 2024

This research proposed a particle swarm optimization (PSO) based seismic retrofit design of moment frame structures using a steel frame assembly. Two full scale specimens of the steel frame assembly with different corner details were attached to one-story RC frames for seismic retrofit, and the lateral load resisting capacities of the retrofitted frames subjected to cyclic loads were compared with those of a bare RC frame. The open source software framework Opensees was used to develop an analytical model for validating the experimental results. The developed analytical model and the optimization scheme were applied to a case study structure for economic seismic retrofit design, and its seismic performance was assessed before and after the retrofit. The results show that the developed steel frame assembly was effective in increasing seismic load resisting capability of the structure, and the PSO algorithm could be applied as convenient optimization tool for seismic retrofit design of structures.