• International conference on construction engineering and project management
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• 2011.02a
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• pp.468-473
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• 2011

The goal of a project manager is generally to minimize the cost of the project and also to cope with uncertainty. This paper deals with the problem of project scheduling a set of activities satisfying precedence constraints in order to minimize the sum of the costs associated with the starting times of the activities in the network with imprecise activity durations, represented by means of interval or fuzzy numbers. So far this problem has been completely solved by several authors when the activities durations have crisp values. However, they do not consider the imprecision in activity durations in their models. Here the framework of possibility theory is proposed to solve this problem. In fuzzy arithmetic, usually, the interval calculations are used for the aim of complexity reduction and simplification. Thus the case of interval-valued durations is first addressed, and then extended to fuzzy intervals. A numerical example is used to illustrate the developed concept.

• Journal of The Korean Astronomical Society
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• v.29 no.spc1
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• pp.419-420
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• 1996

The VLBI Space Observatory Program (VSOP) is a worldwide project of one radio telescope in space with many ground radio telescopes. The concerted space VLBI network enables us to reveal high resolution and high quality images of radio sources. The space radio telescope is anticipated to be launched in January/February 1997, and collaborative observations have been coordinated. The basic parameters of the system and present status are given.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.383-388
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• 2005

In the construction industry, complex works are carried out with significant resources under non-linear circumstances where clear concepts of project management could be of benefit to all parties and personnel involved. In this paper, we define the optimum project management configuration for construction management by using DSM (Design Structure Matrix). Furthermore DSM can be visualized as a network model, and then Graph Theory provides us the numerical results.

• Fashion, Industry and Education
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• v.14 no.1
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• pp.40-49
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• 2016

This study examined students' perceived importance of the benefits derived from an international multi-course collaborative (IMCC) project and how these perceptions impact students' extrinsic and intrinsic motivations for using the project Facebook (i.e., perceived usefulness and enjoyment), attitude toward the project, and intent to participate in future IMCC projects. The data were collected from 96 students who participated in the IMCC project and were enrolled in four different fashion merchandising courses in two different countries, the U.S. and South Korea. This study found that perceived enjoyment of the project Facebook influenced attitude toward the project and intent to participate in future IMCC projects. Perceived usefulness and enjoyment were predicted by the perceived importance of cultural understanding and feedback exchange among international group members. Attitude was influenced by the perceived importance of networking through the IMCC project, while intent to participate in future IMCC projects was predicted by perceived importance of cultural understanding and networking through the IMCC project. This study provides educators in the related disciplines insights about how to incorporate social network sites into course curricula to motivate students' project participation and learning.

• Proceedings of the Korean Magnetic Resonance Society Conference
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• 2002.01a
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• pp.25-25
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• 2002

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.9-16
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• 2016

The project schedule risk in the engineering and facility construction industry is increasingly considered as important management factor because the risks in terms of schedule or deadline may significantly affect the project cost. Especially, the project-based operating companies attempt to find the best estimate of the project completion time for use at their proposals, and therefore, usually have much interest in accurate estimation of the duration of the projects. In general, the management of projects schedule risk is achieved by modeling project schedule with PERT/CPM techniques, and then performing risk assessment with simulation such as Monte-Carlo simulation method. However, since these approaches require the accumulated executional data, which are not usually available in project-based operating company, and, further, they cannot reflect various schedule constraints, which usually are met during the project execution, the project managers have difficulty in preparing for the project risks in advance of their occurrence in the project execution. As these constraints may affect time and cost which role as the crucial evaluation factors to the quality of the project result, they must be identified and described in advance of their occurrence in the project management. This paper proposes a Bayesian Net based methodology for estimating project schedule risk by identifying and enforcing the project risks and its response plan which may occur in storage tank engineering and construction project environment. First, we translated the schedule network with the project risks and its response plan into Bayesian Net. Second, we analyzed the integrated Bayesian Net and suggested an estimate of project schedule risk with simulation approach. Finally, we applied our approach to a storage tank construction project to validate its feasibility.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.49-57
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• 2018

In a previous article, for analyzing a stochastic activity network, Cho proposed a method for estimating the moments (mean, variance, skewness, kurtosis) of the project completion time under the assumption that the durations of activities are independently and normally distributed. Developed in the present article is a method for estimating those moments for stochastic activity networks which allow any type of distributions for activity durations. The proposed method uses the moment matching approach to discretize the distribution function of activity duration, and then a discrete inverse-transform method to determine activity durations to be used for calculating the project completion time. The proposed method can be easily applied to large-sized activity networks, and computationally more efficient than Monte Carlo simulation, and its accuracy is comparable to that of Monte Carlo simulation.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.117-126
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• 2007

The current participative government has started to carry out Residents Service Reform that transforms the transmission system of suppliers' oriented convenience to one-stop tai for made civil and governmental integral ion service for the purpose of realizing universal Social Benefits in responding to increasing desires of people according to the changes of social and economic conditions by overcoming the existing limit of transmission system. This study has analyzed the status and problems of local autonomous organizations according to the innovation of support for the life of residents and in order to solve these problems, I present the implementation strategy of transmission system of civil and government cooperation tailor-made integral ion service through the project of "30 experiencing hall for Social Benefits, " which is a joint project of civil and government dove loped by Jungrang-gu. In addition, it aims for the completed accomplishments of this project to settle as eight largest services market ing brand in 30 method and also as the best strategic brand for the "establishment of network of civil and governmental cooperation" with suppliers of public services, suppliers of civil service, and residents, who are suppliers as well as potential customers, for solving problems of local communities.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.221.1-221.1
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• 2012

The Korea Astronomy and Space Science Institute (KASI) is developing three 1.6m optical telescopes with $18k{\times}18k$ mosaic CCD cameras. These telescopes will be installed and operated at Chile, South Africa, and Australia for Korea Micro-lensing Telescope Network (KMTNet) project. The main scientific goal of the project is to discover earth-like extra-solar planets using the gravitational micro-lensing technique. To achieve the goal, each telescope at three sites will continuously monitor the specific region of Galactic bulge with 2.5 minute cadence for five years. Assuming 12 hour observation in maximum for a night, the amount of 200 GB file storage is required for one night observation at one observatory. If we consider the whole project period and the data processing procedure, a few PB class data storage, high-speed network, and high performance computers are essential. In this presentation, we introduce the KMTNet data management plan that handles gigantic data; raw image collecting, image processing, photometry pipeline, database archiving, and backup.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.685-686
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• 2007

This paper presents an application of power system fault diagnostic algorithm for the PEFP Proton Accelerator Research Center using neural network. Proposed fault diagnostic system is constructed by the radial basis function (RBF) neural network because it has the capabilities of the pattern classification and function approximation of any nonlinear function. Proposed system identifies faulted section in the power system based on information about the operation of protection devices such as relays and circuit breakers. In this paper, parameters of the RBF neural networks are tuned by the GA-TS algorithm, which has the global optimal solution searching capabilities. To show the validity of the proposed method, proposed algorithm has been tested with a practical power system in Proton Accelerator Research Center of PEFP.