• International conference on construction engineering and project management
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• 2015.10a
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• pp.730-731
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• 2015

This study aims at giving the framework to estimate the environmental load at planning and schematic phase. With increasing awareness of environmental issues, the effort to reduce the environmental impacts caused by human activity has been increasingly enlarged. So far most of researches estimating CO₂ emissions have analyzed energy consumption based on BOQ (Bills of Quantity) acquired after detailed design. There is also lack of reliability in the estimated environmental impact using the basic unit of a facility at the planning stage, because it uses a limited specific section of historical data. Thus, this study is targeted at developing framework to assess reliable environmental loads based on information available at project early phases by making case-bases from historical design information on PSC Beam Bridge. Historical database is built on the basis of the LCA (Life Cycle Assessment) and in order to set input information for estimating model, the literature about information in an early project phase are reviewed. Using the information available in the planning and schematic design stage, the Framework is presented to estimate the environmental load in an early stage in the project. Developing an environmental load estimation model in accordance with the Framework presented in this study, it is expected that the environmental load in the initial project phase can be estimated more quickly and accurately.

• Journal of the Korean Society for Railway
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• v.10 no.2 s.39
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• pp.137-145
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• 2007

In traditional financial theory, the discount cash flow model(DCF or NPV) operates as the basic framework for most analyses. In doing valuation analysis, the conventional view is that the net present value(NPV) of a project is the measure of the present value of expected net cash flows. Thus, investing in a positive(negative) NPV project will increase(decrease) firm value. Recently, this framework has come under some fire for failing to consider the options of the managerial flexibilities. Real option valuation(ROV) considers the managerial flexibility to make ongoing decisions regarding the implementation of investment projects and the deployment of real assets. The appeal of the framework is natural given the high degree of uncertainty that firms face in their technology investment decisions. This paper suggests an algorithm for estimating volatility of logarithmic cash flow returns of real assets based on the Black-Sholes option pricing model, the binomial option pricing model, and the Monte Carlo simulation. This paper uses those models to obtain point estimates of real option value with the G7- HSR350X(high-speed train).

• The Journal of Information Systems
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• v.25 no.4
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• pp.63-85
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• 2016

Purpose While the popularity of C2C auction platforms such as eBay is gradually decreased, this domain is still undermined to explain online bidding behaviors. Online bidders sometimes engage in impulsive bidding due to some of the online auction characteristics. Therefore, this study develops and tests a model of the impulsive bidding exhibited by online bidders in C2C auction platforms. Based on S-O-R framework, our model posits that both perceived time-pressure and competition intensity affect cognitive absorption which ultimately influences the impulsive bidding. Design/methodology/approach This study collected survey data from 214 C2C auction participants, who have prior experience on impulsive bidding and tested both measurement model and structural model by using CB-SEM (covariate-based structural equation modelling) technique. In this study, by using AMOS 20.0, we tested the measurement model for its overall fit, item reliability, and validity and further conducted the structural model to test our proposed hypotheses. Findings Based on our results, we found that perceived tim-pressure and competition intensity were positively related to cognitive absorption. We also found that the cognitive absorption was positively associated with impulsive bidding behavior. In this study, by developing our research model in S-O-R framework, we provide an alternative theoretical mechanism to describe online impulsive bidding behavior.

• Journal of Information Technology Applications and Management
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• v.11 no.4
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• pp.133-145
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• 2004

The two main purposes of this paper are to 1) investigate critical components of university information systems for information resources management, 2) develop a comprehensive framework model of university information systems for e-Business Era. Through a literature review and by employing group decision making techniques with managers of K University, critical components for developing university information systems were identified. The critical components of university information systems are 1) academic affaires. 2) general administration. (3) research administration. (4) information services. (5) management support, (6) cyber education. (7) knowledge management, (8) e-library. (9) mobile service. and (10) IT infrastructures. In the second stage. by employing IT experts in K University and other institutes. a comprehensive framework of university information systems for e-Business era was developed. The comprehensive framework shows that major components for university information resources management are (1) information infrastructure. (2) common operating environments. (3) applications/information services. The results of this study expect to help managers. who are in charge of university information systems. plan to develop information systems based on the framework proposed in this paper.

• Korean Management Science Review
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• v.17 no.3
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• pp.161-180
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• 2000

The purpose of this paper is to propose an analytical model for evaluating Internet Web sites, that is comprehensive and flexible enough to accomodate different categories of Internet Web sites. This paper is intended to identify critical success factors of Internet Web sites to determine criteria for evaluating the Web sites, and use the criteria to develop a framework for comprehensive evaluation of Internet Web sites. The framework consists of eight categories, including design, business functions, trustworthiness, interface, technology, community, contents, and others. An empirical study designed to validated the framework has been conducted for each of the three Web site categories, including (1) information provision, (2) product sale, and (3) customer service. The results show that ‘content ’ is the most important for information provision Web sites, ‘trustworthiness’for product sale Web sites, and ‘design’ for customer service Web sites. The framework may be used not only as a tool to evaluate Internet Web sites, but also as a checklist to improve the quality of a Web site that is under development.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.61-63
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• 2005

Retreiving indoor scene reference image from database using visual information is important issue in Robot Navigation. Scene matching problem in navigation robot is not easy because input image that is taken in navigation process is affinly distorted. We represent probabilistic framework for the feature matching between features in input image and features in database reference images to guarantee robust scene matching efficiency. By reconstructing probabilistic scene matching framework we get a higher precision than the existing feaure-feature matching scheme. To construct probabilistic framework we represent each image as Gaussian Mixture Model using Expectation Maximization algorithm using SIFT(Scale Invariant Feature Transform).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1182-1194
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• 2016

The single image dehazing algorithm in existence can satisfy the demand only for improving either the effectiveness or efficiency. In order to solve the problem, a novel variational framework for single image dehazing based on restoration is proposed. Firstly, the initial atmospheric scattering model is transformed to meet the kimmel's Retinex variational model. Then, the green light component of image is considered as an input of the variational framework, which is generated by the sensitivity of green wavelength. Finally, the atmospheric transmission map is achieved by multi-resolution pyramid reduction to improve the visual effect of the results. Experimental results demonstrate that the proposed method can remove haze effectively with less memory consumption.

• Journal of Korean Society for Quality Management
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• v.28 no.2
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• pp.89-102
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• 2000

Many organizations have developed their own traditional quality information systems. But, they think of it as one of the functional information systems not as a company-wide decision support information systems. A study on traditional quality information systems(QIS) has been conducted and a new conceptual framework of quality information system is proposed in this paper. In order to support enterprise wide total quality management aggressively, a new conceptual framework, named quality management support information system(QMSIS) is developed and proposed. This framework is based upon Malcolm Baldrige National Quality Award(MBNQA) model integrates management information system approach and traditional quality information system concept. In this model, organizational performance and process performance can be monitored to support managers , decision making about organizational quality management activities.

• Journal of Environmental Impact Assessment
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• v.5 no.2
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• pp.79-91
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• 1996

In Chapter 40, "Information for decision-making", of Agenda 21, it was Slated that, "indicators of sustainable development need to be developed to provide solid bases for decision-making at all levels and to contribute to a self-regulating sustainability of integrated environment and development systems." Sustainable development has been defined as "development that meets the needs of the present without compromising the ability of future generations to meet their own needs", An indicator that measures sustainability should therefore focus on this definition. One of the most widely used frameworks for environmental indicators is the Pressure-State-Response model proposed by the OECD. And we introduced the the Driving force-State-Response framework, the adaptation of Pressure-State-Response model, for UN sustainable development indicators. Therefore, in our country, indicators for sustainable development should be developed by using the DSR framework.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.4
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• pp.66-76
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• 2008

In medium-sized enterprises that comprise of multiple business branches and companies, various types of information systems are constructed and operated. One of the difficult problems these enterprises face is that integrated information cannot be delivered due to loosely managed mater data. This paper proposes an effective master data management framework for these enterprises. The framework is designed after comparing a tightly controlled centralization model with a coordinated centralization model. Through a case study on a customer master data integration project, the practicality of the framework is explored.