• 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.

• Journal of Environmental Impact Assessment
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• v.15 no.1
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• pp.13-22
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• 2006

The Korean government adopted the integrated stream water management policy recently with growing perception that natural disasters and pollution in Korea have been due not only to such human factors as urbanization and industrialization, but also to the policy of functionally separated management of irrigation, flood control and ecological management. Contrary to its good intention, research result shows that it is not realistic to expect that this new integrated policy in Korea will work well. In order to be an effective policy and program evaluation, this paper suggests that evaluation indicator on related programs and projects should be made through bottom-up process. For example, environmental benefit should be taken into account rather than just economic benefit, and cultural and social characteristics in the project region should be also considered seriously.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.60-70
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• 2009

This paper explores the ways in which collaborative working among multiple disciplines in building projects can be more effective and efficient. It focuses on the support that can be provided by the latest development in information and communication technologies. It also considers the growing interdependence between participants in the process and their changing roles as they harness the power of the new technologies in new collaborative arrangements. It is argued that collaborative working should be addressed holistically from the technological angle, the social angle, as well as the organisational angle, to ensure its successful implementation in the construction industry. A case study is given to illustrate the use of ICT in supporting value management studies. The key issues surrounding the emerging field of research - collaborative construction information management - and the potential benefits and challenges of its wide adoption are discussed at depth.

• Journal of the Korea Institute of Building Construction
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• v.14 no.5
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• pp.443-449
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• 2014

Although risk reduction of construction projects have been continued, the risk of fatal accident has been increased. The purpose of this paper is to reduce the cause of the essential risk factors. Questionnaire survey of construction companies in domestic was conducted and the Multiple Regression Analysis of statistics program was used to grasp effective factors among the risk factors of construction companies in domestic. Development of the essential risk factors and its application to projects could lead to improvements such as compression of network, reduction of cost, improvement of quality and reduction of safety accident.

• Korean Journal of Construction Engineering and Management
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• v.14 no.6
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• pp.22-29
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• 2013

As construction projects are getting larger, more complex and specialized, the size and scale of the structures are increasing and large-scale projects with multiple participants involved have continuously been ordered. Due to the nature of a large-scale construction project, when there are interferences and conflicts in process, schedule and area among project participants, the project requires more time and efforts to resolve the issues as it progresses further. This study suggests the interface management model that is time-saving and physically beneficial in solving interface issues based on case study. This study provides a practical management model including the organization of interface consultative group, checklist preparation, LIST management and PMIS application, which will be useful for the construction sites seeking effective know-how to manage design interferences and changes.

• Korean Journal of Construction Engineering and Management
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• v.7 no.2 s.30
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• pp.171-180
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• 2006

Change is inevitable and is a reality of construction projects. Most construction contracts include change clauses and allowing contractors an equitable adjustment to the contract price and duration caused by change. However, the actions of a contractor can cause a loss of productivity and furthermore can result in disruption of the whole project because of a cumulative or ripple effect. Because of its complicated nature, it becomes a complex issue to determine the cumulative impact (ripple effect) caused by single or multiple change orders. Furthermore, owners and contractors do not always agree on the adjusted contract price for the cumulative impact of the changes. A number of studies have attempted to quantify the impact of change orders on project costs and schedule. Many of these attempted to develop regression models to quantify the loss. However, regression analysis has shortcomings in dealing with many qualitative or noisy input data. This study develops ANN models to classify and quantify the labor productivity losses that are caused by the cumulative impact of change orders. The results show that ANN models give significantly improved performance compared to traditional statistical models.

• Journal of Agricultural Extension & Community Development
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• v.28 no.1
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• pp.41-52
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• 2021

It is important to understand the factors that affect the business performance of insect farm for continuous insect farm management. The purpose of this study is to investigate factors influencing the business performance of insect farm. For this study, 1,577 questionnaires were collected through a telephone survey targeting insect farm owner. As a result of analysis using linear multiple regression analysis, the factors affecting total sales were gender, age, business experience, number of workers, and national and local government support projects. The factors affecting the net profit rate were age, business experience, number of workers, national and local government support projects, and education. When the gender of the business operator is male, it only affected the increase in total sales, and it was found that both the total sales amount and the net profit margin increased with the younger the business operator's age.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.119-129
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• 2007

In January 2005, the BTL private investment project was introduced in the Korean construction market as part of the plan to provide high-quality public service and expand the required facilities in a timely manner. Nonetheless, problems such as the low earning rate at the beginning of the business, burden of service compared to the cost of the proposed business, and limitations of the local small and medium-sized companies in relation to their participation in the project arose. The LCC analysis system for the BTL projects was developed as part of efforts toward efficiently investigating the investment eligibility. Specifically, methods for LCC analysis were selected for each stage of the BTL project in relation to the requests of experts for military residential facilities and public educational facilities. Variables were then extracted to derive an accurate analysis value, LCC for the 5 cost items (initial investment cost, operating expenses, maintenance expenses, energy cost, and disposal cost), analyzed, and system enabling comparative analysis for single and multiple initiatives by year and item, developed. Thus, we have to clearly require the accumulation of data to examine the appropriateness of the results of LCC analysis based on data and results.

• Journal of Korean Society of Water and Wastewater
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• v.29 no.3
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• pp.395-406
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• 2015

This research carried out an analysis on input cost and leakage reduction effect by leakage reduction method, focusing on the project for establishing an optimal water pipe network management system in the Taebaek region, which has been executed annually since 2009. Based on the result, optimal cost-benefit analysis models for water distribution network rehabilitation project were developed using DEA(data envelopment analysis) and multiple regression analysis, which have been widely utilized for efficiency analysis in public and other projects. DEA and multiple regression analysis were carried out by applying 4 analytical methods involving different ratios and costs. The result showed that the models involving the analytical methods 2 and 4 were of low significance (which therefore were excluded), and only the models involving the analytical methods 1 and 3 were suitable. From the result it was judged that the leakage management method to be executed with the highest priority for the improvement of revenue water ratio was installation of pressure reduction valve, followed by replacement of water distribution pipe, replacement of water supply pipe, and then leakage detection and repair; and that the execution of leakage management methods in this order would be most economical. In addition, replacement of water meter was also shown to be necessary in case there were a large number of defective water meters.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11A
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• pp.870-881
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• 2009

The rapid development of healthcare information management for 3D medical digital library, 3D PACS and 3D medical diagnosis has addressed security issues with medical IT technology. This paper presents multiple 3D medical image data for protection, authentication, indexing and diagnosis information hiding applied to healthcare information management. The proposed scheme based on POCS watermarking embeds the robust watermark for doctor's digital signature and information retrieval indexing key to the distribution of vertex curvedness and embeds the fragile watermark for diagnosis information and authentication reference message to the distance difference of vertex. The multiple embedding process designs three convex sets for robustness, fragileness and invisibility and projects 3D medical image data onto three convex sets alternatively and iteratively. Experimental results confirmed that the proposed scheme has the robustness and fragileness to various 3D geometric and mesh modifiers at once.