• Korean Journal of Construction Engineering and Management
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• v.6 no.2 s.24
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• pp.69-79
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• 2005

The Purpose of cost Planning at the early Phase of construction Projects is to provide the clients with the appropriate cost information during the design decision-making process. Therefore, the cost planning process is expected not only to predict projects' cost accurately but also closely to coordinate with the design decision-making activities. This paper proposes a new cost planning method for the effective and efficient directions relating a design decision-making process. Strategies for this method are i ) to utilize elemental cost breakdown system, and ii ) to apply probabilistic distribution theories. Based on these strategic direction, this paper proposed a probabilistic cost planning model for high-rise office building projects. The suggested model provides appropriate cost information to meet clients limited budget and various project' requirements during the design decision-making process. This study is based on probabilistic distribution variables theories and the range estimating technique. This study also develops a web-based software program in order to apply the proposed cost planning model effectively in high-rise of office building construction practices.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.63-70
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• 2009

3D GIS(Geographic Information System) processes, analyzes and presents various real-world 3D phenomena by building 3D spatial information of real-world terrain, facilities, etc., and working with visualization technique such as VR(Virtual Reality). It can be applied to such areas as urban management system, traffic information system, environment management system, disaster management system, ocean management system, etc,. In this paper, we propose video visualization technology based on 3D geographic information to provide effectively real-time information in 3D geographic information system and also present methods for establishing 3D building information data. The proposed video visualization system can provide real-time video information based on 3D geographic information by projecting real-time video stream from network video camera onto 3D geographic objects and applying texture-mapping of video frames onto terrain, facilities, etc.. In this paper, we developed sem i-automatic DBM(Digital Building Model) building technique using both aerial im age and LiDAR data for 3D Projective Texture Mapping. 3D geographic information system currently provide static visualization information and the proposed method can replace previous static visualization information with real video information. The proposed method can be used in location-based decision-making system by providing real-time visualization information, and moreover, it can be used to provide intelligent context-aware service based on geographic information.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.1-6
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• 2011

As large-scale building projects have recently increased for the residential, commercial and office facilities, construction costs for these projects have become a matter of great concern, due to their significant construction cost implications, as well as unpredictable market conditions and fluctuations in the rate of inflation during the projects' long-term construction periods. In particular, recent volatile fluctuations of construction material prices fueled such problems as cost forecasting. This research develops a time series model using the Box-Jenkins approach and material price time series data in Korea in order to forecast trends in the unit prices of required materials. Building information modeling (BIM) approaches are also used to analyze injection times of construction resources and to conduct quantity take-off so that total material prices can be forecast. To determine an optimal time series model for forecasting price trends, comparative analysis of predictability of tentative autoregressive integrated moving average (ARIMA) models is conducted. The proposed BIM-based time series forecasting model can help to deal with sudden changes in economic conditions by estimating material prices that correspond to resource injection times.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.6
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• pp.565-572
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• 2014

A systematically structured 3D information model can be effectively utilized in many application fields. This study presents the methodology of generation and application of the city information model, which is suited for the management of the flood damage information. To ensure the interoperability and re-usability of the information, this study develops application methodology to utilize the information attributes included in the CityGML as an open standard data schema and extension methodology for additional information attributes. Also, an effective combining method for topography and building model was proposed. Using the data extracted from the combined information model based on a real flood damage case, it was shown that the numbers of casualties and isolation during a flood can be predicted and as a result, the applicability of the data model on flood damage estimation is naturally verified.

• Korean Journal of Construction Engineering and Management
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• v.5 no.6 s.22
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• pp.235-244
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• 2004

The effective management of major construction resources is the key to the success in high-rise residential building construction projects. It is even more important and challenging as well especially in CBD(central business district) area under tight project duration since little leeway in interface between construction trades, severe constraints in staging n and heavy demands for lifting among construction resources. In order to meet high demands among major construction resources, highly effective construction resource management information system is required This research develops and provides a system which selects and disseminates these information from each phase of procurement transportation, lift-up and storage for major construction resources This research applies the Kanban system, well recognized material information system technique in automobile manufacturing industry, in concrete work processes. It develops concrete procurement information system utilizing VSM(Value Stream Mapping) and also applies the model in actual super-high rise residential building construction project in order to analyze the benefit of the research model.

• The Journal of Engineering Geology
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• v.30 no.4
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• pp.663-671
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• 2020

Recently, there have been many natural disasters in Korea, not only in forest areas but also in urban areas, and the national requirements for them are increasing. In particular, there is no pre-disaster information system that can systematically manage the collapse of the slope of the national highway. In this study, big data analysis was conducted on the factors causing slope collapse based on the detailed investigation report on the slope collapse of national roads in Gangwon-do and Gyeongsang-do areas managed by the Cut Slope Management System (CSMS) and the basic survey of slope failures. Based on the analysis results, a slope collapse risk prediction model was established through Adaboost, a classification-based machine learning model, reflecting the collapse slope location and weather information. It also developed a visualization map for the risk of slope collapse, which is a visualization program, to show that it can be used for preemptive disaster prevention measures by identifying the risk of slope due to changes in weather conditions.

• Journal of The Korean Digital Architecture Interior Association
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• v.10 no.3
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• pp.19-28
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• 2010

The construction projects are recently having changes in their magnitude and complexity. Therefore, the amount of information created and managed by participants over project phases is enormous and this may cause difficulties in consistent and integrated data management. Because of the change in construction projects, there is a need to apply more logical and systematic ways to deal integrated data management. For the solution to this, BIM(Building Information Modeling), a new paradigm for integrated management of the information over project life-cycle, has been seriously considered. Also, the Korean Public Procurement Service announced that project over 50 billion Korean Won should introduce BIM into procurement starting from 2012. However, the studies and development have lack on studies of applying BIM and managing the data made using BIM in pre-design and maintenance stage. In pre-design stage, the concept of schematic design model is made to support for making major decisions concerning the size, shape and cost of the project. To decide the cost for the building in this stage by making use of BIM, estimating the amount of building materials used for constructing should be preceded. In this study, the pre-design BIM is explained to gain a better understanding of its process, since this paper focused on space programming stage. Finally, the paper suggests the concept process of estimating the amount of materials in building interior finishing from selecting the type for the elements of each space made to support the client for making decisions in space programming stage based on pre-design BIM.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.344-354
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• 1994

In the development of executive information systems (EIS) the selection of an appropriate software package as a system building tool is regarded as a key technology. This paper attempts to shed some light on the evolving field of EIS software packages and provides a helpful Guideline for selecting the most suitable product by addressing significant considerations. A framework is presented that includes a six-step evaluation process: need analysis, team building, vendor survey, identification of decision criteria, and building an evaluation model and its verification. The major evaluation criteria of the full-featured software include: special functionality, reporting, graphics. decision support capability user friendliness, general functionality physical requirements, communication linkage, vendor support, cost related factors, performance, and documentation capability. An illustrative model using the analytic hierarchy process (AHP) method is also discussed to prove the appropriateness of our approach.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.69-81
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• 2005

As the competition in business becomes severe, companies are focusing their capacity on customer relationship management (CRM) for survival. One of the important issues in CRM is to build a purchase prediction model, which classifies customers into either purchasing or non-purchasing groups. Until now, various techniques for building purchase prediction models have been proposed. However, they have been criticized because their performances are generally low, or it requires much effort to build and maintain them. Thus, in this study, we propose the support vector machine (SVM) a tool for building a purchase prediction model. The SVM is known as the technique that not only produces accurate prediction results but also enables training with the small sample size. To validate the usefulness of SVM, we apply it and some of other comparative techniques to a real-world purchase prediction case. Experimental results show that SVM outperforms all the comparative models including logistic regression and artificial neural networks.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.643-645
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• 2015

This study is designating the scope, in order to establish the information management system of performance assessment for remodeling buildings, to analyze the current status of performance assessment, and to identify technologies and concepts applicable to performance assessment model.