• Journal of Korea Water Resources Association
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• v.47 no.5
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• pp.469-482
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• 2014

This study developed a Bayesian spatial regional frequency analysis, which aimed to analyze spatial patterns of design rainfall by incorporating geographical information (e.g. latitude, longitude and altitude) and climate characteristics (e.g. annual maximum series) within a Bayesian framework. There are disadvantages to considering geographical characteristics and to increasing uncertainties associated with areal rainfall estimation on the existing regional frequency analysis. In this sense, this study estimated the parameters of Gumbel distribution which is a function of geographical and climate characteristics, and the estimated parameters were spatially interpolated to derive design rainfall over the entire Han-river watershed. The proposed Bayesian spatial regional frequency analysis model showed similar results compared to L-moment based regional frequency analysis, and even better performance in terms of quantifying uncertainty of design rainfall and considering geographical information as a predictor.

• Journal of the Korea Institute of Building Construction
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• v.22 no.2
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• pp.207-218
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• 2022

Changes in megatrends occurring within the spatial range of the production process can be critical factors that affect the performance of unit projects in construction industry, one of the representative order industries. Although changes in the megatrend are a prerequisite for successful performance achievement, previous studies suggested methods for performance measurement and management within the production process as major results. Accordingly, this study analyzed the megatrend related to domestic construction projects and presented critical impact factors(CIFs) that can be affect a project's performance. CIFs were set by combining keywords derived by reviewing major contents of related laws and policies and future strategy reports, and the importance of each indicator was quantitatively analyzed using analytic hierarchy process(AHP). It is expected that the findings of this study can provide meaningful basic data that the various stakeholders in a construction project can refer to when establishing the strategies to achieve successful performance.

• Journal of KIISE:Information Networking
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• v.31 no.2
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• pp.158-170
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• 2004

Mobile IP is a base protocol to support host mobility in IP-based wireless network. It is well known that the protocol contains two main delay factors on a handoff process; one is to detect a host movement, and the other is to register the host's current location to its home network. This paper examines Layer 2(L2) handoff procedure in the IEEE 802.11 Wireless LAN, and identifies these L2 triggers that can be usefully applied to Layer 3(L3) handoff. Then, the MCAA(Multiple-Casting using Anchor Agent) mechanism is proposed. It makes use of the L2 trigger and the network topology to construct an anchor agent dynamically, and the multiple-casting scheme to prevent an ongoing packet to be lost. Using a network simulator, the proposed mechanism has been evaluated the handoff delay and the packet lost point of view, in comparison with the regional registration protocol which is the most well known micro mobility support mechanism.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.55-67
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• 2005

This study presented the route location method by applying AHP and evaluating quantitatively. This study developed the program that can be easily applied to this kind of road design, and built the decision support system for route location. The study results are summarized as follows ; We could quantitatively evaluate the appropriateness of exiting routes by applying the AHP based on GIS. If we apply this to the roads that will be newly constructed, we can make the objective and reliable route location when making road plans and basic designs. We improved the technique of route location by applying the decision support system with third-dimensional data, which considers even the vertical alignment plan, to the existing decision support system with second-dimensional data. And, since we can set those data such as vertical slope, earth-volume, structure size, location and construction cost to independent variables, we can make road designs more scientifically and reasonably.

• The KIPS Transactions:PartC
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• v.8C no.6
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• pp.639-639
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• 2001

In this paper we describe a distributed location management scheme to reduce the bottleneck problem of HLR in Large Personal Communication Networks (LPCNs). Using analytical modeling and numerical simulation, we show that replicating location information is both appropriate and efficient for small Personal Communication Network (PCN). Then, we extend the scheme in a hierarchical environment to reduce overhead traffic and scale to LPCNs. Through extensive numerical results, we show the superiority of our scheme compared to the current IS-41 standard scheme.

• The KIPS Transactions:PartC
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• v.8C no.6
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• pp.839-846
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• 2001

In this paper we describe a distributed location management scheme to reduce the bottleneck problem of HLR in Large Personal Communication Networks (LPCNs). Using analytical modeling and numerical simulation, we show that replicating location information is both appropriate and efficient for small Personal Communication Network (PCN). Then, we extend the scheme in a hierarchical environment to reduce overhead traffic and scale to LPCNs. Through extensive numerical results, we show the superiority of our scheme compared to the current IS-41 standard scheme.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.135-145
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• 2017

Principal component analysis (PCA) describes the variation of multivariate data in terms of a set of uncorrelated variables. Since each principal component is a linear combination of all variables and the loadings are typically non-zero, it is difficult to interpret the derived principal components. Sparse principal component analysis (SPCA) is a specialized technique using the elastic net penalty function to produce sparse loadings in principal component analysis. When data are structured by groups of variables, it is desirable to select variables in a grouped manner. In this paper, we propose a new PCA method to improve variable selection performance when variables are grouped, which not only selects important groups but also removes unimportant variables within identified groups. To incorporate group information into model fitting, we consider a hierarchical lasso penalty instead of the elastic net penalty in SPCA. Real data analyses demonstrate the performance and usefulness of the proposed method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.12A
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• pp.964-974
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• 2003

With increasing use of a personal mobile computer. the Mobile IPv6 is one of the main protocols that support mobility and complies with IPv6 specification. Similar to the mobile IPv6, the mobile IPv6 also has limitations on fast moving condition. The Hierarchical Mobile IPv6 is a solution that overcomes these limitations. The Hierarchical Mobile IPv6 is a micro mobility protocol that supports fast mobile IP handover and reduces signaling overhead with Mobility Anchor Point(MAP). But until now no paging method is applied to the Hierarchical Mobile IPv6 to reduce unnecessary signaling overhead and power consumption of mobile nodes. So, the paging mechanism for the Hierarchical Mobile IPv6 is proposed in this paper. the mechanism is implemented by making use of the destination option header and extension function and the last location algorithm. The results show that the Hierarchical Mobile IPv6 with the paging ability reduces the traffic of mobile networks by removing unnecessary binding update packet generated whenever handover takes place. Also, the larger the paging size is. the less the number of BU(Binding Update) massage generated.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.703-706
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• 2008

Structural flood defensive alternatives have been evaluated based on economic feasibility, riskiness of safety and sustainability. Social problems associated with structural flood defensive alternatives such as dams, flood control channels, etc. are currently issued. The evaluation items of policy presented in KDI(2001) are should be modified in order to resolve the social problems. Hence, this study conducted a questionnaire survey of public servants, researchers, and engineers to obtain how to determine evaluation items for policy assessment and to compute their weights in the analytic hierarchy process. This study also compared the weights of the items in KDI(2000) with the weights from the survey in this study. The policy assessment weight was estimated higher than KDI(2000). This result suggests that social awareness increases and the analysis of policy becomes important for selecting optimal structural defensive alternatives.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.135-136
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• 2018

본 연구는 컴퓨터 문헌 분석 방법을 활용하여 <적벽가> 이본의 계통을 분류하고 기존 이본 연구를 검토한 것이다. <적벽가> 이본의 공통 서사단위는 5개의 계층으로 파악되며, 146개의 개별단락을 산출해낼 수 있다. 이를 통해 군집 분석 방법과 계통의 분기 분석 방법을 적용할 수 있으며, 작품의 계통과 이본간의 거리를 시각적으로 파악할 수 있다.