• 한국측량학회지
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• 제36권6호
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• pp.601-609
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• 2018

스마트도시계획은 스마트도시 건설사업의 기본방향, 추진전략, 서비스 구축 및 운영방안 등을 제시하여야 하고, 상위계획인 스마트도시종합계획의 내용을 반영해야 한다. 그러나 스마트도시계획 위계에 따라 계획 내용이 체계적으로 수립되고 있는지에 대한 실증적 연구는 미흡한 실정이다. 이에 본 연구에서는 지자체의 스마트도시계획이 국가 차원의 마스터플랜인 스마트도시종합계획과 실제로 연결성이 높은지를 네트워크 분석을 활용하여 파악하고자 한다. 이를 위하여 최근에 스마트도시계획이 승인된 광명시와 춘천시를 대상으로 사회연결망 분석을 실시하였다. 먼저 제2차 스마트도시종합계획에서 108개의 키워드를 도출하였고 이러한 키워드와 스마트도시계획의 연결성을 분석하였다. 사회연결망 분석결과, 광명시의 스마트도시계획의 총연결수가 371개로 춘천의 307개 보다 높았고, 키워드당 평균 연결정도와 네트워크 밀도도 광명 스마트도시계획이 춘천 스마트도시계획보다 높게 나타났다. 연구결과에 의하면, 스마트도시계획은 스마트도시종합계획과 실제로 연결성이 높았으며 연결중심성이 높은 키워드는 지자체마다 상이하게 나타났다. 본 연구결과는 지자체가 수립한 스마트도시계획이 상위계획과 계획간 연관성이 높은지 판단하기 위한 근거로 활용될 수 있을 것이다.

• Architectural research
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• 제24권2호
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• pp.41-52
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• 2022

The purpose of this study is to grasp the understanding of smart cities and to review whether the common perception of smart cities, as people understand it, is changing over time. This study analyzes keywords related to smart cities used in social network services (SNSs) in 2011, 2016, and 2020 respectively through semantic network analysis. Smart city discussions appearing on SNS in 2011 mainly focused on technology, and the results of 2016 were generally similar to those of 2011. We can also find policy or business-oriented characteristics in emerging countries in 2020. We highlight that all the results of 2011, 2016, and 2020 have some correlation with each other through QAP(Quadratic Assignment Procedure) correlation analysis, and among them, the correlation between 2011 and 2016 is analyzed the most. The results of the frequency analysis, centrality analysis, and CONCOR(CONvergence of interaction CORrelation) analysis support these results. The results of this study help establish policies that reflect the needs and opinions of citizens in planning smart cities by identifying trends and paradigm transitions expressed by people in SNS. Furthermore, it is expected to help emerging countries by enhancing the understanding of the essence and trend of smart cities and to contribute by suggesting the direction of more sustainable technology development in future smart city policies for leading countries.

• 교육시설 논문지
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• 제25권6호
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• pp.35-44
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• 2018

The purpose of this study is to predict more accurate construction costs and to support efficient decision making in the planning and design stages of smart education facilities. The higher the error in the projected cost, the more risk a project manager takes. If the manager can predict a more accurate construction cost in the early stages of a project, he/she can secure a decision period and support a more rational decision. During the planning and design stages, there is a limited amount of variables that can be selected for the estimating model. Moreover, since the number of completed smart schools is limited, there is little data. In this study, various artificial intelligence models were used to accurately predict the construction cost in the planning and design phase with limited variables and lack of performance data. A theoretical study on an artificial neural network and deep learning was carried out. As the artificial neural network has frequent problems of overfitting, it is found that there is a problem in practical application. In order to overcome the problem, this study suggests that the improved models of Deep Neural Network and Deep Belief Network are more effective in making accurate predictions. Deep Neural Network (DNN) and Deep Belief Network (DBN) models were constructed for the prediction of construction cost. Average Error Rate and Root Mean Square Error (RMSE) were calculated to compare the error and accuracy of those models. This study proposes a cost prediction model that can be used practically in the planning and design stages.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.324-330
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• 2022

At the present stage of the world economic development, a new economic system is being formed, in which non-economic values, in particular environmental and social parameters, have become widespread. A new vision of economic activity is being formed, which acquires the qualities of Smart-economy. The purpose of this paper is reveal the features of managing the development of smart cities as specific entities of the Smart-economy. New functions of economic entities are formed within the framework of the Smart-economy concept, while their role and weight in the localities' activity or formation have changed. Determining that the key trends in the Smart-economy development are such as digitalization, greening, socialization, institutionalization, and urbanization, this is necessary to note that all these trends are most active in the formation of urban ecosystems. These trends are determined by the general population growth and the urban population growth, which requires considerable attention to planning each city's development itself. Such planning could ensure the comfort of living for all its inhabitants, quality, safe, and modern life. The Smart-city's key elements and the intellectualized approach implementation planes to the decision of these or those tasks are definedIt is determined that a new ecosystem of governance is being formed.

• Transactions on Electrical and Electronic Materials
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• 제18권2호
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• pp.111-118
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• 2017

The increased diversity of different types of energy sources requires moving towards smart distribution networks. This paper proposes a probabilistic DG (distributed generation) units planning model to determine technology type, capacity and location of DG units while simultaneously allocating ESS (energy storage systems) based on pre-determined capacities. This problem is studied in a wind integrated power system considering loads, prices and wind power generation uncertainties. A suitable method for DG unit planning will reduce costs and improve reliability concerns. Objective function is a cost function that minimizes DG investment and operational cost, purchased energy costs from upstream networks, the defined cost to reliability index, energy losses and the investment and degradation costs of ESS. Electrical load is a time variable and the model simulates a typical radial network successfully. The proposed model was solved using the DICOPT solver under GAMS optimization software.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.3083-3098
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• 2023

As demands for efficient and echo-friendly production of marine products increase, smart aquaculture based on information and communication technology (ICT) has become a promising trend. The smart aquaculture is expected to control fundamental farm environment variables including water temperature and dissolved oxygen (DO) levels with less human intervention. A recirculating aquaculture system (RAS) is required for the smart aquaculture which utilizes a purification tank to reuse water drained from the water tank while blocking the external environment. Elaborate water treatment should be considered to properly operate RAS. However, analyzing the water treatment performance is a challenging issue because fish farm circumstance continuously changes and recursively affects water fluidity. To handle this issue, we introduce computational fluid dynamics (CFD) aided water treatment analysis including water fluidity and the solid particles removal efficiency. We adopt RAS parameters widely used in the real aquaculture field to better reflect the real situation. The simulation results provide several indicators for users to check performance metrics when planning to select appropriate RAS without actually using it which costs a lot to operate.

• 한국산학기술학회논문지
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• 제17권5호
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• pp.379-387
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• 2016

본 연구는 스마트 그린시티로 전환을 위한 설계 및 건설 측면과 지원시스템 측면의 통합적 계획의 필요성을 인식하고 고층주거단지를 대상으로 공간위계별로 적용 가능한 계획기법과 적용실태를 파악하고자 한다. 이를 위한 연구의 방법은 다음과 같다. 첫째, 문헌 및 선행연구 고찰을 통하여 스마트 그린시티의 개념을 정립하고 3개 공간 위계, 7개 기본방향, 17개 주요특성으로 분류된 고층주거단지 계획체계를 설정한다. 둘째, 선행연구 검토와 전문가 FGI를 통해 스마트 그린시티 개념을 적용한 고층주거단지 설계 및 건설 측면의 계획기법 28개와 스마트 시스템 측면의 계획기법 28개를 도출한다. 셋째, 행정중심복합도시 2-1생활권 4개 고층주거단지 계획안을 대상으로 계획기법의 적용실태를 분석한다. 연구의 결과 스마트 그린시티 개념을 적용한 고충주거단지 계획의 주요특성 중 '교통네트워크 연계', '친환경 단지배치', '녹색교통 활성화', '신재생에너지 효율적 활용', '범죄 및 재해 안전 성능', '고성능 고효율 설비 활용'에 해당하는 계획기법이 사례에서 적극적으로 적용되었음을 확인하였다. 또한 고층주거단지 계획 시 공간 위계별로 설계 및 건설 계획기법과 스마트 시스템 계획기법 적용의 시사점을 확인할 수 있었다.

• 대한산업공학회지
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• 제42권4호
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• pp.296-303
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• 2016

In public transportation, smart cards have been introduced for the purpose of convenient payment systems. The smart card transaction data can be utilized not only for the exact and convenient payment but also for civil planning based on travel tracking of citizens. This paper focuses on the analysis of the transportation convenience using the smart card big data. To this end, a new index is developed to measure the transit convenience of each region by considering how passengers actually experience the transportation network in their travels. The movement data such as movement distance, time and amount between regions are utilized to access the public transportation convenience of each region. A smart card data of five working days in March is used to evaluate the transit convenience of each region in Seoul city. The contribution of this study is that a new transit convenience measure was developed based on the reality data. It is expected that this measure can be used as a means of quantitative analysis in civil planning such as a traffic policy or local policy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2736-2750
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• 2022

As demands for the maritime communications increase, a variety of functions and information are required to exchange via elements of maritime systems, which leads communication traffic increases in maritime frequency bands, especially in VHF (Very High Frequency) band. Thus, effective resource management is crucial to the future maritime communication systems not only to the typical terrestrial communication systems. VHF data exchange system (VDES) enables to utilize more flexible configuration according to the communication condition. This paper focuses on the VDES communication system among VDES terminals such as shore stations, ship stations and aids to navigation (AtoN) to address efficient resource allocation. We propose a resource management method considering a MIMO (Multiple Input Multiple Output) technique in VDES, which has been widely used for modern terrestrial wireless networks but not for marine environments by scheduling the essential communication resources. We introduce the general channel model in marine environment and give two metrics, spectral and the energy efficiencies to examine our resource scheduling algorithm. Based on the simulation results and analysis, the proposed method provides a possibility to enhance spectral and energy efficiencies. Additionally, we present a trade-off relationship between spectral and energy efficiencies. Furthermore, we examine the resource efficiencies related to the imperfect channel estimation.

• 스마트미디어저널
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• 제11권5호
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• pp.82-90
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• 2022

Along with the growing popularity of 5G technology, providing flexible and personalized network services suitable for requirements of customers has also become a lucrative venture and business key for network service providers. Therefore, dynamic network provisioning is needed to help network service providers. Moreover, increasing user demand for network services meets specific requirements of users, including location, usage duration, and QoS. In this paper, a routing algorithm, which makes routing decisions using Reinforcement Learning (RL) based on the information about link stability, is proposed and called Link Stability aware Reinforcement Learning (LSRL) routing. To evaluate this algorithm, several mininet-based experiments with various network settings were conducted. As a result, it was observed that the proposed method accepts more requests through the evaluation than the past link annotated shorted path algorithm and it was demonstrated that the proposed approach is an appealing solution for dynamic network provisioning routing.