• 한국자원식물학회지
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• 제20권3호
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• pp.234-241
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• 2007

The present study was undertaken to classify and describe the riparian vegetation of the 6 river${\cdot}$stream of Korea Peninsula. As a result the vegetation was divided into nineteen communities. The vegetation units obtained in the present study were as follow: A: Salix koreensis community, B: Salix gracilistyla community, C: Robinia pseudo-acacia community, D: Amorpha fluticosa community, E: Brousonnetia papyrifera community, F: Phyllostachys bambusoides community, G: Rubus corchorifolius community, H: Phramities japonica community, I: Phramites communis community, J: Miscanthus sacchariflorus community, K: Miscanthus sinesis var. purpurascens community, L: Artemisia princeps var. orientalis community, M: Humulus japonicus community, N: Zoysia japonica community, O: Inperata cylindrica var. koenigii community, P: Agropyron tsukushiense var. transiens community, Q: Juncos effusus var. decipiens community, R: Rumex crispus community, S: Persicaria hydropiper community. The vegetation characteristics of riversides was recovered in the surveyed results according to river${\cdot}$stream basin, in other words, 10 communities in the upper river${\cdot}$stream riparian, 15 communities in the middle river${\cdot}$stream riparian, 10 communities in the down river${\cdot}$stream riparian. The Phragmites japonica community in the upper and Phragmites communis community in the down was analyzed by common community of the 6 river${\cdot}$stream riparian, respectively, but none in the middle. The standing profile of vegetation across 6 river${\cdot}$stream was seen stepwise Phragmites japonica community, Salix gracilistyla community, Miscanthus sinensis var. purpurascens community, shrub community by natural waterway in the upper, Salix gracilistyla community, Phragmites communis community, Rumex crispus community, Miscanthus sacchariflorus community, Humulus japonicus community in the middle, Phragmites communis community in the down. The differences of distributional featurs of vegetation emerged from the riparian of the 6 river${\cdot}$stream, but don't from the 6 river${\cdot}$stream.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.273-276
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• 2019

There is a lot of information in our world, quick access to the most accurate information or finding the information we need is more difficult and complicated. The recommendation system has become important for users to quickly find the product according to user's preference. A social recommendation system using community detection based on label propagation is proposed. In this paper, we applied community detection based on label propagation and collaborative filtering in the movie recommendation system. We implement with MovieLens dataset, the users will be clustering to the community by using label propagation algorithm, Our proposed algorithm will be recommended movie with finding the most similar community to the new user according to the personal propensity of users. Mean Absolute Error (MAE) is used to shown efficient of our proposed method.

• 대한전자공학회논문지TC
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• 제47권1호
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• pp.91-98
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• 2010

본 논문은 커뮤니티 기반의 유비쿼터스 네트워크에서 대리 서명 기법을 적용한 커뮤니티 멤버들 간의 상호 인증 기법 및 안전한 커뮤니티 생성 권한 위임 기법을 제안한다. 커뮤니티 기반의 유비쿼터스 네트워크에서는 사용자가 필요로 하는 네트워크 서비스 및 응용서비스를 제공해주기 위해 다양한 상황인식 정보가 수집 되고 활용된다. 또한 사용자는 학업, 게임, 정보 공유, 사업, 회의 등의 다양한 목적에 의해 다양한 커뮤니티를 생성할 수 있다. 그러나 커뮤니티 기반의 유비쿼터스 네트워크의 경우 공격자에 의해 상황인식 정보가 위조 및 도용되어 악의적인 목적으로 사용될 수 있다. 또한 악의적인 목적으로 커뮤니티를 생성할 수 있다. 제안하는 기법은 위임 서명 기법을 이용하여 커뮤니티 멤버들 간의 상호 인증 및 비밀 키를 교환 할 수 있도록 지원하고, 안전하게 커뮤니티 생성 권한을 위임할 수 있도록 하였다. 또한 기존 RSA 서명 기법과의 비교 분석을 통해 전체 계산 시간이 감소함을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2142-2161
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• 2018

Distance dynamics model is an excellent model for uncovering the community structure of a complex network. However, the model has poor robustness. To improve the robustness, we design an enhanced distance dynamics model based on Ego-Leader and propose a corresponding community detection algorithm, called E-Attractor. The main contributions of E-Attractor are as follows. First, to get rid of sensitive parameter ${\lambda}$, Ego-Leader is introduced into the distance dynamics model to determine the influence of an exclusive neighbor on the distance. Second, based on top-k Ego-Leader, we design an enhanced distance dynamics model. In contrast to the traditional model, enhanced model has better robustness for all networks. Extensive experiments show that E-Attractor has good performance relative to several state-of-the-art algorithms.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2021년도 추계학술대회
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• pp.325-327
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• 2021

코로나19 전염병 예방을 위한 공공장소에서의 마스크 착용이 의무화되고 있다. 그러나 사람들이 다양한 이유로 마스크를 제대로 착용하지 않아 감염에 노출되는 위험이 발생하고 있다. 이러한 방역 문제를 해결하고 본 논문은 영상을 인식하여 마스크를 쓴 얼굴과 쓰지 않은 얼굴을 검출하는 방식을 제안한다. 제안 방법은 마스크 착용자와 비착용자 얼굴 영상을 딥러닝 기반의 YOLO 네트워크로 학습하여, 마스크 착용 유무를 판별한다. 동일 YOLO 네트워크에 대해 여러가지 조건으로 학습을 수행하고, 학습에 사용되지 않은 검증 데이터를 이용해 정확도가 가장 높은 네트워크의 가중치를 선택하였다. 실험결과, 마스크 착용자는 67.2%, 미착용자는 39.8%의 판별 정확도를 보였다. 미착용자에 대해 낮은 정확도를 보인 이유는 학습 데이터의 부족으로 판단되며, 이를 보완하기 위하여 더 많은 학습데이터를 제작하여 성능을 개선시키고자 한다.

• 한국태양에너지학회 논문집
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• 제34권6호
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• pp.19-25
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• 2014

Alternative sources of energy take a higher interest in order to reduce the greenhouse gas under the Climate Change Convention, fossil fuel consumption, and lower social anxiety about nuclear power such as crisis involving the Fukushima plant, problem of obsolete equipment. The energy consumption of agriculture, forestry and fisheries in South Korea is 3,082,000toe by 2011, reliance on electrical energy(35%) and oil(57.2%) is very high with 92.2%. In this study, we examined reserves and available capacity of temperature difference energy for thermal discharge from plant, treated sewage, river water, dam, and agricultural reservoir in rural community. Reserves of unutilized energy are 455,735Tcal/yr in rural community, these accounts for 78% of total reserves 582,385Tcal/y. Thermal discharge from plant has the most reserves of unutilized energy in rural community, it is estimated that it has the reserves of 277,410Tcal/y. Available capacity of unutilized energy in rural community is total 134,147Tcal/y, thermal discharge from plant available for heating is the most 128,035Tcal/y, and it shows in the order of treated sewage 4,318Tcal/y, river water 1,653Tcal/y, and reservoir 141Tcal/y. Elevating temperature area of green house by 2012 is 21,208ha. The amount of energy required for heating the greenhouse a year is dbout 11,365Tcal/y with 8.5% of the total available capacity of unutilized energy.

• Journal of Information Processing Systems
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• 제12권4호
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• pp.577-590
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• 2016

We studied the current state-of-the-art of Smart TV, the challenges and the drawbacks. Mainly we discussed the lack of end-to-end solution. We then illustrated the differences between Smart TV and IPTV from network service provider point of view. Unlike IPTV, viewer of Smart TV's over-the-top (OTT) services could be global, such as foreign nationals in a country or viewers having special viewing preferences. Those viewers are sparsely distributed. The existing TV service deployment models over Internet are not suitable for such viewers as they are based on content popularity, hence we propose a community based service deployment methodology with proactive content caching on rendezvous points (RPs). In our proposal, RPs are intermediate nodes responsible for caching routing and decision making. The viewer's community formation is based on geographical locations and similarity of their interests. The idea of using context information to do proactive caching is itself not new, but we combined this with "in network caching" mechanism of content centric network (CCN) architecture. We gauge the performance improvement achieved by a community model. The result shows that when the total numbers of requests are same; our model can have significantly better performance, especially for sparsely distributed communities.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.408-417
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• 2022

Although traditionally perceived as being a visualization and asset management resource, the relatively rapid rate of improvement of computing power, coupled with the proliferation of cloud and edge computing and the IoT has seen the expanded functionality of modern Digital Twins (DTs). These technologies, when applied to buildings, are now providing users with the ability to analyse and predict their energy consumption, implement building controls and identify faults quickly and efficiently, while preserving acceptable comfort and well-being levels. Furthermore, when these building DTs are linked together to form a community DT, entirely new and novel energy management techniques, such as demand side management, demand response, flexibility and local energy markets can be unlocked and analysed in detail, creating circularity in the economy and making ordinary building occupants active participants in the energy market. Through the EU Horizon 2020 funded TwinERGY project, three different levels of DT (consumer - building - community) are being created to support the creation of local energy markets while optimising building performance for real-time occupant preferences and requirements for their building and community. The aim of this research work is to demonstrate the development of this new, interrelated, multi-level DT that can be used as a decision-making tool, helping to determine optimal scenarios simultaneously at consumer, building and community level, while enhancing and successfully supporting the community's management plan implementation.

• 한국건설관리학회논문집
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• 제10권3호
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• pp.3-12
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• 2009

뉴욕 주의 커뮤니티 재활성화는 커뮤니티 중심의 계획을 기반으로 이루어지고 있으며, 이는 미국 내의 커뮤니티 계획에 있어서 일반적인 접근방법이다. 연방정부는 재정지원에만 주력하고 가능한 간섭을 하지 않고 있으며, 주정부가 재활성화에 필요한 계획, 재정, 인력, 정보 등을 지원하는 체계적인 지원체계의 수립에 더욱 노력을 기울이고 있다. 주정부는 다른 주정부, 지방정부, 대학들과 연계하여 커뮤니티의 재활성화에 필요한 인적 물적 자원들을 주의 실정에 맞게 재구성하고, 자체 지원시스템을 만들어, 커뮤니티가 스스로 재활성화 계획을 실행 할 수 있도록 돕고 있다. 본 연구에서는 뉴욕 주에서의 커뮤니티 재활성화 계획 과정이 어떻게 이루어지고 있으며, 계획과정 상 커뮤니티 구성원들의 참여가 어떻게 이루어지고 있는지, 본 연구자가 직접 참여한 The Black River Vision Plan/ City of Watertown의 사례연구를 통해 자세히 알아보았다.

• 한국물환경학회지
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• 제26권4호
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• pp.608-613
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• 2010

Electricity generation of microbial fuel cells (MFC) is greatly affected by the kind of feed substrates because substrates would change microbial community of electrochemically active bacteria (EAB) able to transfer electrons to electrode. The effect of different substrates on electricity generation and microbial community of MFC was investigated. Two-chamber MFCs fed with acetate (A-MFC), butyrate (B-MFC), propionate (P-MFC), glucose (G-MFC) and a mixture (M-MFC) of the 4 substrates (acetate : butyrate : propionate : glucose = 1 : 1 : 1 : 1 as $COD_{Cr}$ base) were operated under continuous mode. The maximum power density was found from the M-MFC ($190W/m^3$) which showed the lowest internal resistance ($89{\Omega}$). The maximum power densities of the pure substrates feed MFCs were in order of A-MFC ($25W/m^3$), P-MFC ($21W/m^3$), B-MFC ($20W/m^3$) and G-MFC ($9W/m^3$). In DGGE analysis, the microbial community structure in suspension was quite different from each others depending on feed substrates, while the community structure in the biofilm was relatively similar regardless of the substrates. This result suggests that the feed substrates would affect the microbial community of suspended growth bacteria than attached growth bacteria resulting in difference of electricity generation in MFCs.