• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.52-59
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• 2005

The goal of this project is to estimate the instream flow of the Han River Basin to ensure the adequate supply of suitable quality water for preservation and enhancement of aquatic ecosystems. A applied model is Physical Habitant Simulation System(PHABSIM) of Instream Flow Incremental Methodology(IFIM). The parameters which are needed to simulation by PHABSIM such as flow depth, velocity distribution and channel cover with cross section data are obtained by field survey. The Habitat Suitability Criteria with the application of univariate curve on Zacco platypus as a target species was able to be established by conducting the field investigation. The estimated results of ecological recommended instream flow by this study has important meanings that the future river management have to seriously take into account for the natural environment and functions of river system.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.357-358
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• 2011

A major element in the evaluation of reliability worth is the customer cost associated with a loss of supply. This paper proposes a new methodology to estimate the IEAR(Interrupted energy assessment rate) based on expectation value of outage time by using micro approach. The case study in this paper was performed on the basis of the survey data which had been conducted in a previous research.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.12
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• pp.109-118
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• 2004

Life cycle assessment (LCA) usually involves some uncertainty. These uncertainties are generally divided in two categories such lack of data and data inaccuracy in life cycle inventory (LCI). This paper explo.es a methodology on dealing with uncertainty due to lack of data in LCI. In order to treat uncertainty of LCI data, a model for data uncertainty is proposed. The model works with probabilistic curves as inputs and with Monte Carlo Simulation techniques to propagate uncertainty. The probabilistic curves were derived from the results of survey in expert network and Monte Carlo Simulation was performed using the derived probabilistic curves. The results of Monte Carlo Simulation were verified by statistical test. The proposed approach should serve as a guide to improve data quality and deal with uncertainty of LCI data in LCA projects.

• Health Policy and Management
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• v.5 no.2
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• pp.202-229
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• 1995

In Korea, Resource-Based Relative Value Scale(RBRVS) is suggesting to the alternative of Korean Medical Fee Schedule. This study developed to methodology of RBRVS applicable to Korean situation and applied to services of internal medicine and general surgery. Our methodology of RBRVS is basically same to Hsiao's. But there are some differences between our method and H냐매's because Korean medical situation differs to American. The first difference is method of measurement of work. The Unit of work in our study is total work including intra-servic work and pre-/post-service work. Secondly, in extrapolation, we use primary data gathered to small group of physician. Tertially, in measurement of practice cost, we directly survey to budget data of hosptials and analyse practice costs by service. Some results are presented in a companion article.

• IE interfaces
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• v.12 no.4
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• pp.635-642
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• 1999

Recently, business application vendors have responded to customer demand with several technological and organizational changes for reflecting network-oriented process flow with electronic communication and expanding their market. In organizational changes. Vendors are adding new functionality to their core offerings through mergers and acquisitions, or by partnering with front-office operation and SCM vendors. And technological changes are embracing the development of component-based application and middleware technology to be possible with integration of their function modules. We will present the design and development process of component-based SCM system to be integrated with heterogeneous ERP under implementation. Especially, we survey and analyze the technology related with CBD(Component-Based Development) to be adapted this research - component's design and methodology, the interface for component integration, middleware's development methodology of Enterprise Middleware vendo to bundle various types of middleware into a single package product with easy-to-use interface.

• Journal of Information Technology Applications and Management
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• v.12 no.1
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• pp.21-34
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• 2005

Object-oriented paradigm has required the fundamental changes in the developers' practice and orientation. However. the relevant literature has not still provided the solid practical methodology but created some myths regarding Use Case modeling. In this study. we attempt to 'demythologize' some key aspects of Use Case Modeling by describing what we have observed in our research and practice. In order to identify the developers' perceptions. the survey methodology was utilized. By discussing the differences between what must be done and what has been done. this study provides rich insights into the better understanding of the Use Case modeling and the successful development of object-oriented systems.

• Journal of Construction Engineering and Project Management
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• v.6 no.2
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• pp.24-29
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• 2016

This paper elaborates the significance of scenario planning in risk management, and presents an integrated approach which takes into account the 'Risk Events' derived from scenario planning for risk prioritisation. This research integrates scenario planning with Risk Failure Mode and Effect Analysis (RFMEA) through examples from construction litigations of project schedule and cost overrun cases as a simplified approach to project risk management. The proposed methodology incorporates scenarios developed from realistic events of dispute and arbitration cases from construction projects, and thereby increasing potential to foresee risks and their effects well in advance. The results from this methodology shall be validated against outcome of survey study conducted by KPMG-PMI (2013) on project schedule and cost overruns that was based on Ministry of Statistics and Programme Implementation (MoSPI) Project Monitoring data for 2012-13.

• International Journal of Highway Engineering
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• v.14 no.6
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• pp.175-182
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• 2012

PURPOSES : This paper presents how to determine priorities of RWIS installation on national highways within the limited budget. METHODS : Analytical hierarchy process was employed to develop the entire methodology. In addition to this, various data such as vulnerable roadway section for snow removal, RWIS, AWS, AADT, and traffic accident were properly collected and analyzed for the future analysis. Then, GIS analysis was performed to find out the final candidate vulnerable roadway section for snow removal. In the end, expert survey was conducted to estimate weights for evaluation criteria. RESULTS : Results showed that metropolitan area has the most high priority, and Gangwon area, ChungCheung, and Honam in order. CONCLUSIONS : The main contribution of this paper is to suggest a logical methodology to prioritize RWIS installation within the limited budget, and thus snow removal operation during the winter season can improve in terms of getting more valuable information.

• Asian Journal of Business Environment
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• v.4 no.2
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• pp.13-15
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• 2014

Purpose - This paper discusses the effectiveness of EcoFarmer in Zimbabwe. The effectiveness of EcoFarmer still needs to be established because it is a new product that is hardly a month old. Research design, data, and methodology - The paper follows a qualitative research methodology and an exploratory approach to establish the effectiveness of EcoFarmer in the promotion of productivity in the agricultural sector in Zimbabwe. Using an Internet-based literature review, the paper explored the link that exists between Econet's EcoFarmer program and agricultural development in Zimbabwe. Results - The findings are that the innovation promotes agricultural productivity. This is in line with what was established by Safaricom Foundation in Kenya. Conclusions - The paper used literature sources because the phenomenon is exploratory. This limitation could have been avoided by using a field survey. The paper shows that the EcoFarmer is an innovative project that was developed by Econet as a replication of the Kenyan program.

• Communications for Statistical Applications and Methods
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• v.24 no.6
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• pp.543-559
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• 2017

Tree-based regression and classification ensembles form a standard part of the data-science toolkit. Many commonly used methods take an algorithmic view, proposing greedy methods for constructing decision trees; examples include the classification and regression trees algorithm, boosted decision trees, and random forests. Recent history has seen a surge of interest in Bayesian techniques for constructing decision tree ensembles, with these methods frequently outperforming their algorithmic counterparts. The goal of this article is to survey the landscape surrounding Bayesian decision tree methods, and to discuss recent modeling and computational developments. We provide connections between Bayesian tree-based methods and existing machine learning techniques, and outline several recent theoretical developments establishing frequentist consistency and rates of convergence for the posterior distribution. The methodology we present is applicable for a wide variety of statistical tasks including regression, classification, modeling of count data, and many others. We illustrate the methodology on both simulated and real datasets.