• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.504-510
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• 2002

As the Scale of construction work is enlarged, complicated and diversified, construction information from the large number of construction sites is happened at site and reported to the head office. To simultaneously control the individual or large number of sites in large number of construction information, the necessity of making extract the important point of the information and the board of director's making a suitable decision to support the fields is increased. Also, as driving the construction industry to be informative, efficiently aggregating the information created in fields, efficiently making decision and controlling the construction work is increased the importance of the company's competitiveness factor. To simultaneously control multi-construction sites in the small and medium size construction firms define the fundamental and core information factor which needed in the head office and suggest the appling method.

• International Journal of High-Rise Buildings
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• v.12 no.3
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• pp.225-234
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• 2023

Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).

• The Journal of Sustainable Design and Educational Environment Research
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• v.2 no.2
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• pp.53-62
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• 2002

The purpose of this study is to construct the database and to analyze the space and to suggest the possibility of application for architectural planning and design through the approach analysis for educational facilities with the use of the GIS. The properties of the space is to be expressed by optimized path from the analysis of the user and the traffic situation. Analyzed with other site analysis factors(situation, view, noise, configuration of the earth, etc.), the total site analysis is to be made and it is also to be a decision making support system.

• Journal of Soil and Groundwater Environment
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• v.17 no.1
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• pp.1-7
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• 2012

Selection of appropriate liner type would be the most important factor to prevent groundwater contamination by leachate from waste management site. This report introduces the IWEM (Industrial Waste Management Evaluation Model) developed by US EPA to evaluate the potential pollution of groundwater under the waste management unit and to suggest an appropriate type of liner, and provides with the results of IWEM application to a coal-ash landfill site in Korea as a case study. IWEM uses a standard method using a database, a decision-making process based on site characteristics, and the user-friendly input-and-output system. Authors evaluate this model to be applicable in Korea provided that the database is replaced into local data.

• Journal of Radiation Protection and Research
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• v.13 no.2
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• pp.67-77
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• 1988

The necessity of developing a rapid dose assessment system has been emphasized for an effective emergency response of mitigation of off-site radiological consequences. A microcomputer program based on a rapid dose assessment model of the off-site radiological consequences is developed for various accdident sinarios for the Nuclear Power Plants in Korea. This model, which is consists of the user answering-question input format as a menu driven method and the output format of table and graphic types, is helpful to decision-making on Emergency Preparedness by being more rapidly able to implement the off-site dose assessment and to interpret the result.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.3
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• pp.21-28
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• 2008

In MCDA (Multi-Criteria Decision Analysis) based on GIS, building the CM(Criteria Map) which represents the space phenomenon properly is important process to deduce precise and efficient site analysis result. The CM using administrative district data is widely used for site analysis process. But, there are not enough studies on site analysis using dasymetric mapping technique. For MCDA, this study suggests building the CM by using dasymetric mapping technique, which re-assigns the social-economic attribute value to more detail space unit. The suggested method is used for industrial site analysis. The criteria map for workforce and criteria map for the distance to the city were built and criteria map which represents attribute's space distribution pattern is documented. The criteria map is successfully applied to multi-criteria decision making process and eventually the analysis result of proposed suitable industrial site is derived.

• Journal of The Korean Digital Architecture Interior Association
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• v.10 no.2
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• pp.39-47
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• 2010

In this study, there should be a debation on the methods, such as considerations on the CM organization of skyscraper project for the client's side, process and impact factors need to be taken, and suggesting the evaluation and selection criteria, which may lead strategic decision-making by the client. Owner of the CM organizational decision to establish a variety of alternatives, the range of CM performance characteristics of the project, considering the weight and also by evaluating the effectiveness of appropriate alternative is selected. Domestic skyscraper project, decisions about the CM organization for 'S Tower' prior to the proposed decision and the criteria was applied. As a result, domestic CM/PM companies and overseas CM/PM companies were doing business as J/V, Supervision of the integration work order types showed the highest performance levels. when they ordered CM services. The project cost reduced and organizational improvements, the results of applying alternative way, improve on-site construction plans, sharing key technologies, process improvement plan could benefit from such expectations.

• Soft Computing and Machine Intelligence
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• v.1 no.1
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• pp.24-30
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• 2021

The accelerated growth of the internet and the enormous amount of data availability has become the primary reason for machine learning applications for data analysis and, more specifically, pattern recognition and decision making. In this paper, we focused on the crowdfunding site Kickstarter and collected the comments in order to apply neural networks to classify the projects based on the sentiments of backers. The power of customer reviews and sentiment analysis has motivated us to apply this technique in crowdfunding to find timely indications and identify suspicious activities and mitigate the risk of money loss.

• Spatial Information Research
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• v.20 no.6
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• pp.129-137
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• 2012

For construction project in extreme cold region, it is essential to establish basic data on the site such as topographical data from the early stage of construction of planning and designing, and it is needed to frequently perform site investigation when necessary. However, extreme cold regions are characteristic of being at long distance and difficult in approaching, and special regions such as Antarctica, in particular, are hard to conduct site investigation. Although a site investigation may be conducted, those who can visit Antarctica are sufficiently limited so that most of the staff may participate in construction without knowledge of the site and increase the risk of errors in decision making or designing. In order to resolve such problems, the authors in this study identified methods of building wide-area topographical data and bedrock classification data of exposed areas via remote sensing and of building precise topographical data on the construction site. Also, the authors attempted to present methods by which such data can be managed and visualized integrally via three-dimensional GIS technology and all the participants in construction can learn sense of field and conduct necessary analysis as frequent as possible. The areas around the Jangbogo Antarctic Station were selected to be the research area for conducting effective integrational management and three-dimensional visualization of various spatial data such as wide-area digital elevation model, ortho-images, bedrock classification data, local precise digital elevation model, and site images. The results of this study may enable construction firms to analyze local environments for construction whenever they need for construction in extreme cold regions and then support construction work including decision making or designing.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.448-452
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• 2006

Remodeling is deemedto be very important from the perspective of the recycling of resources, instead of scrapping the existing structure, and the creation of 'value added' which is equivalent to the 'value added' from the new construction. In addition, the selection of the appropriate construction method assures the saving of construction cost, the shortening of construction period, and the improvement of quality. Moreover, the selection of the construction method for the remodeling construction is far more important than the current new construction work, considering that the characteristicsof construction site and the structure have a great effect on the construction in case of the remodelingconstruction. Current selection of the construction method, however, does not reflect the construction information, but just adheres to the construction method which was commonly applied previously. Therefore, this study proposes the measure to embody the tool that assists the decision making in selecting the construction method.