• Construction Engineering and Management
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• v.12 no.4
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• pp.38-43
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• 2011

• Journal of Educational Research in Mathematics
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• v.23 no.2
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• pp.193-212
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• 2013

This paper aims to identify factors to elevate the effectiveness of a high school mathematics teacher's training program focused on the construction of test items, and to make a blueprint for the training program development of high school mathematics teachers. This study created and executed a teacher's training program, and then twice applied focus group interviews with the teachers who participated in the program. As a result, this study identifies four factors that elevate the effectiveness of a high school mathematics teacher's training program focused on the construction of test items: the structure of the training program that allows teachers to concentrate on constructing test items, the recognition and revision of their habits related to the construction of test items, the formation of a consensus among the participants, and self-reflection on the teachers' specialties in the construction of the test items.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.394-397
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• 2003

The Korea construction industry is now in a state where radical innovation is seriously considered. Among a variety of innovation topics, this paper focuses on innovation in public construction clients. The objective of this paper is to analyze GSA's Construction Excellence Program as a case study and to present key characteristics of the program from the perspectives of implications and lessons learned.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.

• Spatial Information Research
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• v.18 no.5
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• pp.143-161
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• 2010

In this study, EWS (Earth Work System), the earth-volume estimation program was developed in a way that could enhance efficiency of civil engineering construction through precise earth-volume modeling based on the 3D geospatial information. In this program, it is possible to estimate the precise earth-volume using LiDAR DEM and to establish the earth work plans based on the unit workload of the construction equipments. Also, EWS program can support the 3D visualization of the final results through Google Earth in order to understand intuitively or share the results of earth-volume estimation in the construction project. For verifying the possibility of appling EWS program to construction project, the construction site of Shin-Pochun substation in Shinbuk-myun, Pochon-City, Kunggi Province was selected as a study area and the results of earth-volume and earth work plans estimated from EWS program were compared with those of DAS program. As a result of comparison between EWS and DAS program, the more accurate earth-volume can be estimated by using 3D geospatial information and more reasonable earth work plan can also be established when use the EWS program was developed in this study. Thus, EWS program can enables improvement of productivity by establishing efficient construction plan in the construction site.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.17 no.11
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• pp.1021-1027
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• 2007

A construction noise is the main reason for people's petition among the pollution. The purpose of this study is to develop the noise prediction program to see the level of the noise on the construction site more accurately. For this purpose, the database of the power level on the various equipments was made. The noise reduction by distance and the noise reduction by diffraction of barrier were mainly considered and calculated. The simple noise prediction program will provide the information about proper height and length of the potable barrier which satisfies noise criteria of the construction sites from a construction planning stage. To investigate the reliability of this program, the predicted data was compared with the measured data. An average of difference between measured data and predicted data is $0.1{\sim}2.8\;dB(A)$ and a coefficient of correlation is about $0.85{\sim}0.95$.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.277-283
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• 2022

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1100-1106
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• 2009

General contractors' overhead costs are increasing relative to direct costs. However, it is difficult to apply the traditional activity-based costing directly to the construction site overhead costing because the resource consumption rate per each activity is varied depending on the attributes of activities. The research develops a methodology of hybrid cost allocation system when resources are assigned to cost objects unlike the traditional activity-based costing. The study also develops a database program and demonstrates how it can be applied to the construction projects using a case study.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.442-445
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• 2008

The purpose of this study is making Proto-type development of BIM based Architectural Construction Simulation System. This study suggest a new schedule access method for overcoming limitation of current Simulation Program focused on visualization. The method made from analysis of current Simulation Program. This program is based on Visual Basic .Net language.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1168-1173
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• 2004

The alignment design is one of the most influencing elements in earth work for the railway design. The amount of earth work mostly depends on the route, and the construction cost for railway construction largely depends on it. For this reason. it is necessary to develop a program for the construction cost estimation by route alternatives. This study introduces a program for the estimation of the earth work amount including the logics and the way to use.