• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.5
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• pp.217-228
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• 2011

In centralize CDN systems, the content server selection is performed by service node for every user request, and the selected node is notified to the user. In this paper, we present distributed CDN architecture and algorithm in which the request from a user is delivered to the content source by a P2P algorithm utilizing DHT(distributed hash table) through the overlay network and the user selects one of the source nodes based on real-time user-centric criteria. For this purpose, we propose a modified Pastry algorithm for contents registration, search and selection, in addition to the distributed architecture. The proposed architecture has the advantages of load balancing, traffic balancing, scalability, fault-tolerance due to the self-configuration, self-healing attributes of distributed architecture. Various simulation shows the feasibility of the proposed architecture and algorithm, and the performance is compared and discussed for the variations of the proposed scheme.

• Korean Journal of Construction Engineering and Management
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• v.15 no.5
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• pp.61-70
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• 2014

Various procurement systems for Architecture-Engineering service for public construction project are currently established by construction-related law. However, comprehensive framework and criteria for the selection of Architecture-Engineering firm are in absence. Even though various selection methods for Architecture-Engineering service are currently established by law, cost-based selection method is mainly used in selecting Architecture-Engineering firm for the service. This paper examined current use of procurement system for Architecture-Engineering service and drew problems in practice. Through analysis of problems and bench-marking of those systems in advanced countries and international organizations, several strategies to improve performance of Architecture-Engineering service and to maximize the efficiency were suggested. The suggestions include framework and guideline to select a procurement method for the service which is being considered for the project and way of improving current procurement system. These suggestions will be a foundation for utilizing appropriate procurement system for the specific project and can make domestic Architecture-Engineering firm more competitive in the global market by breaking form the cost-based selection method in the selection of Architecture-Engineering firms.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.153-160
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• 2009

The demand for super tall building construction is increasing worldwide. There has been a constant request for achieving early payback on investment by shortening the construction time. This pertains especially for the case of huge investment projects such as super tall building construction. It is very important to shorten the construction time for the building framework, which requires substantial construction time and cost, and this is directly related to the establishment of an optimum lift plan for construction. When there is a problem in the selection of the lift equipment, it is almost impossible to revise the selection, resulting in a possible failure of the project. Thus, the purpose of this study is to analyze the function and logic for the development of the process for the selection of lift equipment for super tall building projects and further development of making the analyzed process into a system. In line with this research objective, the process of selecting the optimum lift equipment by domestic construction company was investigated and analyzed as well as collecting the actual field data. The actual data were obtained by sensors installed on tower cranes at three construction sites with the help from the construction company.

• Journal of the Earthquake Engineering Society of Korea
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• v.21 no.4
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• pp.181-188
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• 2017

Current seismic design provisions such as ASCE 7-10 provide criteria for selecting ground motions for conducting response history analysis. This study is the sequel of a companion paper (I - Ground Motion Selection) for assessment of the ASCE 7-10 criteria. To assess of the ASCE 7-10 criteria, nonlinear response history analyses of twelve single degree of freedom (SDF) systems and one multi-degree of freedom (MDF) system are conducted in this study. The results show that the target seismic demands for SDF can be predicted using the mean seismic demands over seven and ten ground motions selected according to the proposed method within an error of 30% and 20%, respectively

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.1
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• pp.70-79
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• 2008

The purpose of this study is to construct the fundamental data for setting a valid viewpoint as the base of landscape planning and management practices. To do this, we analyzed the preceding dissertations and landscape plan reports which presented the selection criteria of viewpoint. 37 research samples containing the criteria of viewpoint were investigated. The selection criteria and trends of viewpoint were analyzed as follows : Firstly, by analyzing the preceding researches we were able to grasp the criteria that had been used to set viewpoint. Secondly, we investigated the differences in criteria of selecting the viewpoint according to the research type, research time and view object. Finally, we analyzed the trends of viewpoint selection criteria and classified the characteristics and selection criteria of viewpoint based on an overview of the research content. It can be concluded that the criteria of viewpoint are intimately linked to the view object, the purpose and role of viewpoint which is related to the landscape planning and management practices. According to this study, we can find that the selection criteria and trends of viewpoint have been used in the research related to the view plane following the 1990's. Hereafter, additional research and the comparisons with researches abroad is necessary to set the objective selection criteria of viewpoint.

• Korean Institute of Interior Design Journal
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• no.31
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• pp.29-40
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• 2002

Environment artworks occupy the diverse spaces of architecture not as one of ornaments or supplementaries to edifice but as a main subject of architectural effect. The application of artworks in architectural design, such as paintings or sculptures including installation art possesses social and historical functions as well as contextual meaning. In Korea the interest of environment artworks has increased since early 1980s, during which large projects began to establish. However environment artworks have been selected merely by the owner's preference or the artist's aesthetic value without collaboration with architects or interior architects, who are willing to allow the minimal units of signification to architectural space. The purpose of the study is to prove the importance of environment artworks in spatial design of architecture. The essence intrinsic to design issue will be defined by proposing the selection factors for environment artworks to escalate the value of architectural space, so that we can expect not only the unification of art and architecture but also the accordance between artistry and publicity.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.381-387
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• 2005

As the most widely used media of BtoB e-business, the e-Marketplace (EM) can play an important role in the age of c-commerce (collaborative commerce). In supply chain management (SCM) area, the relationship-based collaboration among partners has shown great efficiency. Although the collaboration is important in both areas of EM and SCM there has been a critical difference in the selection of trade partners between them. In this paper, the EM's collaborative stages for integration with its customer system are reviewed and a system architecture is proposed for EM's electronic functional role within the perspective of collaborative commerce and buyer-supplier relationship. The relationship-based BtoB commerce through EM is reviewed to explain that it can be more beneficial than the commerce based on the price competitive selection of trade partners. With the proposed system architecture, an EM can be the functional medium for the collaborative IOIS system architecture.

• Structural Engineering and Mechanics
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• v.70 no.5
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• pp.513-524
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• 2019

This study proposed an improved particle swarm optimization (IPSO) method ensemble with kriging model for model updating. By introducing genetic algorithm (GA) and grouping strategy together with elite selection into standard particle optimization (PSO), the IPSO is obtained. Kriging metamodel serves for predicting the structural responses to avoid complex computation via finite element model. The combination of IPSO and kriging model shall provide more accurate searching results and obtain global optimal solution for model updating compared with the PSO, Simulate Annealing PSO (SimuAPSO), BreedPSO and PSOGA. A plane truss structure and ASCE Benchmark frame structure are adopted to verify the proposed approach. The results indicated that the hybrid of kriging model and IPSO could serve for model updating effectively and efficiently. The updating results further illustrated that IPSO can provide superior convergent solutions compared with PSO, SimuAPSO, BreedPSO and PSOGA.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1773-1793
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• 2023

Automated machine learning, often referred to as "AutoML," is the process of automating the time-consuming and iterative procedures that are associated with the building of machine learning models. There have been significant contributions in this area across a number of different stages of accomplishing a data-mining task, including model selection, hyper-parameter optimization, and preprocessing method selection. Among them, preprocessing method selection is a relatively new and fast growing research area. The current work is focused on the recommendation of preprocessing methods, i.e., feature subset selection (FSS) algorithms. One limitation in the existing studies regarding FSS algorithm recommendation is the use of a single learner for meta-modeling, which restricts its capabilities in the metamodeling. Moreover, the meta-modeling in the existing studies is typically based on a single group of data characterization measures (DCMs). Nonetheless, there are a number of complementary DCM groups, and their combination will allow them to leverage their diversity, resulting in improved meta-modeling. This study aims to address these limitations by proposing an architecture for preprocess method selection that uses ensemble learning for meta-modeling, namely AutoFE-Sel. To evaluate the proposed method, we performed an extensive experimental evaluation involving 8 FSS algorithms, 3 groups of DCMs, and 125 datasets. Results show that the proposed method achieves better performance compared to three baseline methods. The proposed architecture can also be easily extended to other preprocessing method selections, e.g., noise-filter selection and imbalance handling method selection.

• Proceedings of the IEEK Conference
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• 2003.07b
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• pp.1157-1160
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• 2003

We proposed a study on optimal clock period selection algorithm for low power RTL design. The proposed algorithm use the way of maintaining the throughput by reducing supply voltage after improve the system performance in order to minimize the power consumption. In this paper, it select the low power to use pipeline in the transformation of architecture. Also, the algorithm is important the clock period selection in order to maximize the resource sharing. however, it execute the optimal clock period selection algorithm.