• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.35-44
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• 2013

Multi-trade Contract Method was introduced as a means of cutting down construction cost of public housing for low income people. Before a specific project delivery method is applied to large public construction project, it is necessary to discuss all the issues raised up from all the parties in construction industry and all the issues which can impact project performance. Thus the interviews were conducted with industrial professionals from diverse organizations and previous studies were investigated to figure out how this newly introduced project delivery method may impact owner's role and responsibility and project performance in terms of cost, schedule, quality and risk. Under the Multi-trade Contract Method, project owner's management tasks will be highly increased, so it should be checked out if the owner can do its role and responsibility. Public owner's organization also needs to be changed and proper project management procedure and system need to be established. In addition, for efficient application of Multi-trade Contract Method, public owner should consider diverse management approach to deliver the project, and how to select and maintain qualified specialty trades.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.120-130
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• 2008

In construction industry, project performance should be evaluated in terms of project value objectives, i.e., cost, time, quality, safety, and environment. However, there have been few, if any, systematic approaches in assessing comprehensive performance level which encompasses the whole spectrum of project value objectives. It is non trivial to establish the standardized performance metric system due to the project individualities. This study provides a new approach in assessing the wide variety of project performance types by collecting the real industry project data. In addition, the proposed system has been validated through industry survey on project practitioners. It is concluded that the developed quantitative project performance measurement system would be effectively useful in indicating the level of current status of a particular project and furthermore, to provide a meaningful strategy for the future project in a more sustainable way.

• Research in Mathematical Education
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• v.16 no.1
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• pp.67-77
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• 2012

This study aimed to explore teachers' perceived beliefs regarding teaching practice in the context of three-year Professional Development Project (ProDev) implementing lesson study incorporating Open Approach. The data were collected through questionnaire distributing to the teachers in three schools. Qualitative data were collected through participatory observation on teaching practice and interviewing members of lesson study team. The findings revealed that teacher's perceived beliefs regarding teaching practice could be categorized into three categories according to 3 phases of lesson study as the followings: 1) Perceived beliefs related to collaboratively designing research lessons 2) Perceived beliefs related to collaboratively observing their friend teaching the research lesson 3) Perceived beliefs related to collaboratively doing post-discussion or reflection on the activities of the two phases.

• Journal of KIBIM
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• v.6 no.4
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• pp.35-41
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• 2016

Learning effect is an observation that the more times a task is performed, the less time is required to produce the same amount of outcomes. The construction industry heavily relies on repeated tasks where the learning effect is an important measure to be used. However, most construction durations are calculated and applied in real projects without considering the learning effects in each of the repeated activities. This paper applied the learning effect to the repeated activities in a small sized apartment construction project. The result showed that there was about 10 percent of difference in duration (one approach of the total duration with learning effects in 41 days while the other without learning effect in 36.5 days). To make the comparison between the two approaches, a large number of BIM based computer simulations were generated and useful patterns were recognized using machine learning algorithm named Decision Tree (See5). Machine learning is a data-driven approach for pattern recognition based on observational evidence.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.195-204
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• 2003

Network optimization is being increasingly important and fundamental issue in the fields such as engineering, computer science, operations research, transportation, telecommunication, decision support systems, manufacturing, and airline scheduling. Networks provide a useful way to modeling real world problems and are extensively used in practice. Many real world applications impose on more complex issues, such as, complex structure, complex constraints, and multiple objects to be handled simultaneously and make the problem intractable to the traditional approaches. Recent advances in evolutionary computation have made it possible to solve such practical network optimization problems. The invited talk introduces a thorough treatment of evolutionary approaches, i.e., hybrid genetic algorithms approach to network optimization problems, such as, fixed charge transportation problem, minimum cost and maximum flow problem, minimum spanning tree problem, multiple project scheduling problems, scheduling problem in FMS.

• Atmosphere
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• v.17 no.3
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• pp.269-279
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• 2007

This study investigates the possibility of seasonal prediction for tropical cyclone activity in the western North Pacific by using a dynamical modeling approach. We use data from the SMIP/HFP (Seasonal Prediction Model Inter-comparison Project/Historical Forecast Project) experiment with the Korea Meteorological Administration's GDAPS (Global Data Assimilation and Prediction System) T106 model, focusing our analysis on model-generated tropical cyclones. It is found that the prediction depends primarily on the tropical cyclone (TC) detecting criteria. Additionally, a scaling factor and a different weighting to each ensemble member are found to be essential for the best predictions of summertime TC activity. This approach indeed shows a certain skill not only in the category forecast but in the standard verifications such as Brier score and relative operating characteristics (ROC).

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.45-52
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• 2000

Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

• Asia pacific journal of information systems
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• v.15 no.1
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• pp.25-44
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• 2005

This study examines control types of IS outsourcing project management focusing on two sets of questions: What control types are implemented during IS outsourcing projects? How various control types affect the performance of IS outsourcing projects. In order to meet these objectives, four control types are developed using typology-approach: dynamic, contract-oriented, partnership-oriented, and passive. And then four control types are identified based on taxonomy-approach using cluster analysis from 66 projects: dynamic, contract-oriented, passive, and middle. The result shows that the derived taxonomy-types are similar to the typology-types except partnership-oriented type. The result also indicates that dynamic and contract-oriented types are in the highest performance, while passive type is in the least performance.

• 기술발표회
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• s.2006
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• pp.75-85
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• 2006

The project comprised the construction of the new oil pier and associated topside facilities and demolition of exiting south pier. The site is located approximately 33km south of Kuwait city at MAA refinery. The approach trestle and berth structures of the new oil pier were designed to be supported by steel tubular piles Total 2,480 numbers of piles(795 piles at Approach Trestle, 1187 piles at Berth 1 -4 and 498 piles at Berth 5-6) had to be driven through the calcareous silty sand In this study, the design procedures for offshore steel pipe piles, evaluation for the compression and tension capacities by static and dynamic load test and effective driving criteria by the final set values are discussed

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.577-583
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• 2003

Due to the widespread availability of the internet, large-scale and dynamic distributed projects in industry are becoming popular. We present a distributed, collaborative, and adaptive control approach for decentralized multiple projects, which is one of representative project environments in modern e-enterprises. In this paper we deal with short term scheduling and rescheduling of resources, which are shared by multiple projects. We in specific, address the dynamic nature of the situation. We model this as a dynamic economy, where the multiple local markets are established and cleared over time trading resource time slots(goods). Local markets are modeled using a combinatorial auction mechanism. Due to the dynamic and distributed nature of economy, through our approach we can achieve higher levels of flexibility, scalability and adaptability.