• STI Policy Review
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• v.1 no.2
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• pp.69-88
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• 2010

This paper explores the determinants of the innovation impact of publicly funded R&D projects along three broad dimensions, namely project, firm and market-related factors. In addition to these factors we examine the attributes of the research result per se and aspects of the commercialization process. The observations from empirical and qualitative analyses are based on R&D projects funded by the Fifth and Sixth Research Framework Programmes of the European Union. Firm size, prior experience, innovation culture, the nature of the project itself, explicit intension to commercialize, consortium management and strategy are the factors with the strongest effect on project success, defined in terms of product/process innovation and/or technical knowledge creation. The paper provides important implications for the organization, objectives, and management of public programmes that fund R&D and for project and participant selection.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.739-748
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• 2007

The objective of this research study is to develop the permutation-based genetic algorithm for solving the resource-constrained project scheduling problem in construction engineering by incorporating elitism into genetic algorithm. A key aspect of the algorithm was the development of the elitist roulette selection operator to preserve the best individual solution for the next generation so the improved solution can be obtained. Another notable characteristic is the application of the parallel schedule generation scheme to generate a feasible solution to the problem. Case studies with a standard test problem were presented to demonstrate the performance and accuracy of the algorithm. The computational results indicate that the proposed algorithm produces reasonably good solutions for the resource-constrained project scheduling problem.

• Journal of Construction Engineering and Project Management
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• v.7 no.2
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• pp.1-10
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• 2017

The Clonal Selection Algorithm (CSA) is an algorithm inspired by the human immune system mechanism. In CSA, several parameters needs to be optimized by large amount of sensitivity analysis for the optimal results. They limit the accuracy of the results due to the uncertainty and subjectivity. Adaptive Clonal Selection (ACS), a modified version of CSA, is developed as an algorithm without controls by pre-defined parameters in terms of selection process and mutation strength. In this paper, we discuss the ACS in detail and present its implementation in construction site utilization planning (CSUP). When applied to a developed model published in research literature, it proves that the ACS are capable of searching the optimal layout of temporary facilities on construction site based on the result of objective function, especially when the parameterization process is considered. Although the ACS still needs some improvements, obtaining a promising result when working on a same case study computed by Genetic Algorithm and Electimze algorithm prove its potential in solving more complex construction optimization problems in the future.

• Journal of the Korea Institute of Building Construction
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• v.11 no.5
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• pp.523-529
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• 2011

In a tall building construction with reinforced concrete structures, the selection of an appropriate formwork system is a crucial factor for the success of the project. Thus, selecting an appropriate formwork system affects the entire construction duration and cost, as well as subsequent construction activities. However, in practice, the selection of an appropriate formwork system has depended mainly on the intuitive and subjective opinion of working level employees with restricted experience. Therefore, in this study, a formwork system selection model using the Adaboost algorithm is proposed to support the selection of a formwork system that is suitable for the construction site conditions. To validate the applicability of the proposed model, the selection models Adaboost and ANN were both applied to actual case data of tall building construction in Korea. The Adaboost model showed slightly better accuracy than that of the ANN model. The Adaboost model can assist engineers to determine the appropriate formwork system at the inception of future projects.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.209-212
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• 2011

Selection of finishing materials in the design stage is an important management factor in terms of use safety and satisfaction, and work cost and process. However, selection of materials in the design stage is usually conducted without related guidelines or a set process, but depends on the experience of the architect or advice of materials company employees. Therefore, the aim of this study was to develop a finishing materials selection process that can be used by a architect. Materials selection related rules collected through interview with experts and five office building cases were used as knowledge. In addition, another aim of the study was to propose a prototype system interface for use in the field.

• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.459-470
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• 2010

The aim of this study were to investigate the process of national R&D project planning by using the industry quantitative analysis(especially supply-chain enterprise ananlysis). In the selection process of funding project, the role and significance of the industry analysis can be identified as the effective guideline of using this methodology. Across the study, the following is noted : the factors of R&D effectiveness and R&D necessity are found reliable and valid. On the other hand, the emptiness of supply chain and the positive effect of foreign trade balance did not influence the selection of project. The information gained from this study will help us to define better expectations and industry analysis employing to the National R&D Project Planning.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.461-463
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• 2002

Image quality and selection of optimized window for good quality reconstruction in coronary angiography using multi-detector row CT (MDCT) have not been studied by heart rate and its variation. Therefore, the effect of heart rate and its variation was systemically analyzed. Eighty-three patients were undergone contrast-enhanced coronary angiography using MDCT. In this study, sixty cases were enrolled. Two radiologists graded image quality as follows: 4, excellent; 3, good; 2, fair; l, bad. The starting points of the reconstruction window were chosen at seventy and forty percent of R wave interval. Optimized window was scored as 1 when 40% reconstruction was better quality than 70%, as 2 when 40% reconstruction is same as 70%, and as 3 when 70% reconstruction was better than 40%. Regression analysis was performed. The range of variation of beats per minute (BPM) was well correlated with image quality (r=-0.55, p=0.000), however correlation with optimized window percentage was not statistically significant (p=0.969). By contraries, median value of BPM was comparatively well correlated with optimized window grade (r=-0.24, p=0.086). Median value of BPM was not well correlated with image quality (r=0.l70, p=0.l97). Image quality is more affected by variation of heart rate (VHR) than by higher heart rate. Selection of optimized reconstruction window for good image quality is mainly affected by heart rate and there is a tendency that systolic phase reconstruction is better in image quality than diastolic reconstruction in higher heart rate.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.36 no.8
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• pp.865-871
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• 2012

Because of the increasing cost of oil and natural gas, energy production technologies using coal, including synthetic natural gas (SNG) and integrated gasification combined cycle (IGCC), have attracted attention because of the relatively low cost of coal. During the early stage of a project, the developer or project owner has many options with regard to the selection of a gasifier. In particular, from the viewpoint of feasibility, the gasifier is a key factor in the economic evaluation. This study compares the technical aspects of gasifiers for a real SNG production project in an early stage. A fixed-bed slagging gasifier, wet-type entrained gasifier, and dry-type entrained gasifier, all of which have specific advantages, can be used for the SNG production project. Base on a comparison of the process descriptions and performances of each gasifier, this study presents a selection guideline for a gasifier for an SNG production project that will be beneficial to project developers and EPC (Engineering, Procurement, Construction) contractors.

• Korean Journal of Construction Engineering and Management
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• v.22 no.2
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• pp.63-71
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• 2021

This paper looks into how to enhance construction project management, focusing on the change order, which is often considered one of the major causes for construction delays, disputes, and claims in the middle east construction. First, this paper categorizes the major causes of change orders. It suggests a detailed classification standard for affecting factors resulting from change orders based on a case study result of an on-going construction project in the Middle East. In particular, this paper presents a method to apply a machine learning-based feature selection to quantify the importance of change order triggers and affecting factors. As a result, the case study identifies six major change order triggers and eight affecting factors. Also, a meaningful relationship between change order triggers and affecting factors by each category is presented. This paper will contribute to setting a clear guideline for change order management for the international plant construction field while helping prevent construction delays and cost run-ups by reducing the time required for change order resolution between project owners and contractors.

• Journal of Information Technology Services
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• v.21 no.4
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• pp.27-61
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• 2022

In order to improve project performance by analyzing the effects of the project manager's leadership competency and the individual competency of the project participants on the project performance, this study examines the effect. In this study, a research model and hypothesis were established to understand the causal relationship between leadership competency, individual competency, and project performance, and a survey was conducted based on this. Overall, it was found that the leadership competency of the project manager and the individual competency of the project participants had a positive effect on the project management performance, the project leadership competency had a positive effect on the completion performance, and the project participant individual competency had a negative effect on the completion performance. As a result of analyzing the effect of the project manager's core competency on the project management performance according to the amount or period of the project type, which is the moderating variable, it was found that there was no moderating effect on the management performance. For the success of the SI project, it is most important to understand the project characteristics well and select a PM suitable for the characteristics, and methods for nurturing excellent project managers should be further studied. In addition, it is expected that it will be possible to identify the effect of project manager leadership competency and participant competency on project performance based on sophisticated research design for more competent PM selection.