• Structural Engineering and Mechanics
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• v.17 no.5
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• pp.707-725
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• 2004

An optimal design method with nonlinear elastic analysis is presented. The proposed nonlinear elastic method overcomes the drawback of the conventional LRFD method that accounts for nonlinear effect by using the moment amplification factors of $B_1$ and $B_2$. The genetic algorithm used is a procedure based on Darwinian notions of survival of the fittest, where selection, crossover, and mutation operators are employed to look for high performance ones among sections in the database. They are satisfied with the constraint functions and give the lightest weight to the structure. The objective function taken is the total weight of the steel structure and the constraint functions are strength, serviceability, and ductility requirement. Case studies of a planar portal frame, a space two-story frame, and a three-dimensional steel arch bridge are presented.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.225-228
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• 2002

그리드는 지역적으로 분산되어 있는 여러 종류의 컴퓨팅 자원들을 네트웍으로 연동하여 보다 자원을 효과적으로 이용하려는 기술이다. 그리드를 이용하는 사용자들은 편리하게 그리드를 이용한 수 있는 PSE환경을 요구하게 되는데, 그리드 포탈은 사용자에게 웹 기반의 인터페이스를 제공함으로써 보다 쉽게 그리드를 이용하여 자신의 작업을 수행할 수 있도록 도와주는 PSE 환경이다. 본 연구에서는 N* Gate 그리드 포탈은 그리드 포탈을 쉽게 구축학 수 있도록 도와주는 자바 기반의 GPDK를 이용하여 구축하였다. 본 연구를 통해 구축된 그리드 포탈을 통해서 사용자는 보다 강력한 작업 의뢰 기능과, 자원 정보 기능을 이용하게 될 것이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5707-5715
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• 2015

Recently, construction industry has won an increasing number of orders for overseas construction projects, thereby achieving an external growth, but its competiveness is concentrated on the construction execution field. In particular, the plant field occupies most of the entire orders, which are concentrated regionally in the Middle East and Asia. In addition, low-cost orders are frequently caused by excessive competition. But its high value-added construction engineering(Below, CE) field's overseas market share and technological capacity are very low. Also, technological competiveness, in terms of order amount and other factors, is deepening in polarization between large CE companies and small and medium-sized CE firms. It is noted that the existing CE information systems mostly simply accumulate data such as design and specification standards and provide the information thereon to users, and thus have yet to provide the information essential for the CE and support such efforts. This study sought to prepare a system designed for sharing outstanding design documents information necessary for the CE industry, by category of construction so as to support the technological enhancement of the CE field. Toward that end, this study presented measures for constructing the system and services designed to exchange and share the outstanding design documents information and know-how by construction category necessary between ordering agencies and CE companies.

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.565-571
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• 2013

We need to study China, the country that's improving constantly, in perspective of economic, political, social integration, and area studies with expertise in some perspective. If we expand the range of view to studies at industry research, national organization, and academia, exact information and diversity with professional research information portal site is at the core of the region. Specialized information portal site in China through an analysis of Chinese studies at the research analyzes the usage of the content. Through the main advantage of the status and content attributes of a site visitor analysis, it has shown a relatively high user loyalty through last 10 years operating as a single topic of professional information website. Through the CSF, the national level with expertise in design construction information portal site can be used as a more efficient way to build the foundation planning. Furthermore, through the effective use of information in China, the two countries, South Korea and China laid the foundation for the economic development of area studies which is expected to contribute to the establishment of information systems.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.123-136
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• 2014

Recently, online shopping has further developed as the use of the Internet and a variety of smart mobile devices becomes more prevalent. The increase in the scale of such shopping has led to the creation of many Internet shopping malls. Consequently, there is a tendency for increasingly fierce competition among online retailers, and as a result, many Internet shopping malls are making significant attempts to attract online users to their sites. One such attempt is keyword marketing, whereby a retail site pays a fee to expose its link to potential customers when they insert a specific keyword on an Internet portal site. The price related to each keyword is generally estimated by the keyword's frequency of appearance. However, it is widely accepted that the price of keywords cannot be based solely on their frequency because many keywords may appear frequently but have little relationship to shopping. This implies that it is unreasonable for an online shopping mall to spend a great deal on some keywords simply because people frequently use them. Therefore, from the perspective of shopping malls, a specialized process is required to extract meaningful keywords. Further, the demand for automating this extraction process is increasing because of the drive to improve online sales performance. In this study, we propose a methodology that can automatically extract only shopping-related keywords from the entire set of search keywords used on portal sites. We define a shopping-related keyword as a keyword that is used directly before shopping behaviors. In other words, only search keywords that direct the search results page to shopping-related pages are extracted from among the entire set of search keywords. A comparison is then made between the extracted keywords' rankings and the rankings of the entire set of search keywords. Two types of data are used in our study's experiment: web browsing history from July 1, 2012 to June 30, 2013, and site information. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The original sample dataset contains 150 million transaction logs. First, portal sites are selected, and search keywords in those sites are extracted. Search keywords can be easily extracted by simple parsing. The extracted keywords are ranked according to their frequency. The experiment uses approximately 3.9 million search results from Korea's largest search portal site. As a result, a total of 344,822 search keywords were extracted. Next, by using web browsing history and site information, the shopping-related keywords were taken from the entire set of search keywords. As a result, we obtained 4,709 shopping-related keywords. For performance evaluation, we compared the hit ratios of all the search keywords with the shopping-related keywords. To achieve this, we extracted 80,298 search keywords from several Internet shopping malls and then chose the top 1,000 keywords as a set of true shopping keywords. We measured precision, recall, and F-scores of the entire amount of keywords and the shopping-related keywords. The F-Score was formulated by calculating the harmonic mean of precision and recall. The precision, recall, and F-score of shopping-related keywords derived by the proposed methodology were revealed to be higher than those of the entire number of keywords. This study proposes a scheme that is able to obtain shopping-related keywords in a relatively simple manner. We could easily extract shopping-related keywords simply by examining transactions whose next visit is a shopping mall. The resultant shopping-related keyword set is expected to be a useful asset for many shopping malls that participate in keyword marketing. Moreover, the proposed methodology can be easily applied to the construction of special area-related keywords as well as shopping-related ones.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.2
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• pp.307-315
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• 2016

Many countries are trying to reduce a greenhouse gas to step up their fight against climate change. There are many studies related to building only for reducing a greenhouse gas in construction area but studies related to reducing a comprehensive environmental load including various pollutants that affects the global environment are lacking. This study aims to analyse the characteristics of environmental load by work type for tunnel projects. Analysis showed that seven work types, including lining concrete, shotcrete, tunnel portal and open-cut tunnel work, etc., are representative works generated environmental load. These seven works represent 89.22 percent of total environmental load. In addition, comparison results of environmental load per tunnel's length by work type showed that a major factor of environmental load is caused by a tunnel portal and open-cut tunnel work with relatively short length (excavation length). And lining concrete and shotcrete work are larger than any other environmental load with tunnel's total length. It is expected that the result of this study will be used to make a estimation model for environmental load using approximate quantity survey of representative work types in the early stage of tunnel design. And it will be play a considerable role in establishing of environment management plan for sustainable infrastructure construction.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.1
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• pp.23-34
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• 2018

Recently, mainly in downtown, there have been frequent safety incidents in underground space like ground subsidence and land sinking. Out of diverse coping measures, the government is carrying forward the establishment of underground space integrated map. As a core element of the underground space integrated map, the 3D geotechnical information is used as major data of underground space impact assessment obliged in accordance with the "Special Act on the Safety Control of Underground Space Safety". The construction method of 3D geotechnical information is drawn when establishing the basic establishment plan of underground space integrated map, and the continuous construction is performed by the Integrated DB Center of National Geotechnical Information. However, it is necessary to draw concrete measures with accuracy, efficiency, and utilization. This study drew the construction plan considering the accuracy, utilization, and efficiency of 3D geotechnical information for the support of underground space safety. For this, accuracy between elevation and underground level is compared using MVS and MakeJiban which are software to construct boring information with geotechnical information in geotechnical information portal system. In the results of general analysis, the milepost-based construction of whole strata in a lump would be the most suitable in the aspect of accuracy, utilization, and efficiency. Based on the results of this study, Plan to construct 3D geotechnical information will be pursued.

• Analyses & Alternatives
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• v.2 no.2
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• pp.67-91
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• 2018

This study scrutinizes the necessity and cases of the public and pension cooperation and tries to present the way of construction of information infrastructure for the pension systems suitable for Korea. The developed countries have recently been focusing on strengthening the multi-pillar pension system, while pension education and information services have emerged as an important element of the pension cooperation. The frame of the multi-pillar-pension system in Korea has already been constructed, but it is not substantial. Especially bad information on the pension system has seriously hindered the consolidation of the pension system. In order to solve this problem, we analyzed cases of public-private cooperation systems in Iceland, New Zealand, Netherlands, and Sweden. In order to build a basic infrastructure for construction pension cooperation in Korea, it is necessary to promote information exchange and cooperation among pension organizations and to improve the pension portal of NPS 'My Pension'. In addition, this study suggests establishing an association of private and public pension schemes, which manages the integrated information and education of pension systems.

• Journal of Ecology and Environment
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• v.47 no.4
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• pp.187-192
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• 2023

The United States (US) National Science Foundation's (NSF's) National Ecological Observatory Network (NEON) is a continental-scale observation facility, constructed and operated by Battelle, that collects long-term ecological data to better understand and forecast how US ecosystems are changing. All data and samples are collected using standardized methods at 81 field sites across the US and are freely and openly available through the NEON data portal, application programming interface (API), and the NEON Biorepository. NSF led a decade-long design process with the research community, including numerous workshops to inform the key features of NEON, culminating in a formal final design review with an expert panel in 2009. The NEON construction phase began in 2012 and was completed in May 2019, when the observatory began the full operations phase. Full operations are defined as all 81 NEON sites completely built and fully operational, with data being collected using instrumented and observational methods. The intent of the NSF is for NEON operations to continue over a 30-year period. Each challenge encountered, problem solved, and risk realized on NEON offers up lessons learned for constructing and operating distributed ecological data collection infrastructure and data networks. NEON's construction phase included offices, labs, towers, aquatic instrumentation, terrestrial sampling plots, permits, development and testing of the instrumentation and associated cyberinfrastructure, and the development of community-supported collection plans. Although colocation of some sites with existing research sites and use of mostly "off the shelf" instrumentation was part of the design, successful completion of the construction phase required the development of new technologies and software for collecting and processing the hundreds of samples and 5.6 billion data records a day produced across NEON. Continued operation of NEON involves reexamining the decisions made in the past and using the input of the scientific community to evolve, upgrade, and improve data collection and resiliency at the field sites. Successes to date include improvements in flexibility and resilience for aquatic infrastructure designs, improved engagement with the scientific community that uses NEON data, and enhanced methods to deal with obsolescence of the instrumentation and infrastructure across the observatory.

• Korean Journal of Environment and Ecology
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• v.31 no.1
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• pp.104-111
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• 2017

The construction of road tunnels and bridges have delivered driving efficiency and stability based on developed engineering technology. Tunnels have the advantage of reducing the deforested area compared with other road construction methods. Since a tunnel is an underground passageway dug through the surrounding soil/earth/rock and enclosed except for the entrance and exit, commonly at each end, it does not cause a large amount of deforestation. This study surveyed the deforested areas at each end of the tunnel by the design of the tunnel entrance and exit and forest topography to minimize the amount of deforestation caused by road construction. A survey was done on a total of 150 tunnels (300 entrances and exits) on several main roads in Korea. The deforested area of each tunnel was collected by a breakdown of the entrance area and the upper area of the tunnel. According to the results of Kruskal-Wallis analysis, it was found that there was statistically a significant relation between the location of tunnels and the amount of deforestation by the topographical access type of the tunnels. The tunnel with 'facing orthogonal to incline' type access caused the smallest deforestation while the the tunnel with 'facing to valley' and 'parallel with incline' type accesses caused large deforestation during tunnel construction. Tunnel positioning in the light of topography can reduce the deforested area by up to 1.5ha at each tunnel.