• Proceedings of the Korea Water Resources Association Conference
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• 1992.07a
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• pp.443-447
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• 1992

This study describes the strategy for advanced decision support system (ADSS) development for integrated management of water resources and quality in reservoir systems. The developed ADSS consists of database that contain hydrologic data, observed operational data, and data to support specific reservoir operations simulation, optimization models, and water quality models. The optimization model, mass balance simulation model and water quality models are used in a general prototype ADSS, menu driven controlling framework that assists the user to specify and evaluate the alternative operational scenarios at one time. These alternative scenarios are evaluated by the models and the results are compared through the use of a graphical based display system. This graphical based system uses an icon based schematic representation of the system to organize the presentation of the results. The ADSS includes the ability to use monthly or weekly time periods of analysis for the models and it can use monthly historical or stochastically generated inflows.

• International Journal of High-Rise Buildings
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• v.12 no.1
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• pp.49-61
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• 2023

The transit-oriented development (TOD) model can effectively help to solve urban problems and promote sustainable urban development. The United States and Japan are widely considered the earliest two countries to start TOD practices; however, the origins of TOD models in the two countries were different. The TOD practices in the two countries formed distinct characteristics, yet their differences have been underexplored. This study aims to grasp the characteristics of the TOD model in the two countries through a systematic comparative analysis of 10 typical cities in the United States and Japan that have adopted the TOD model. This paper compares the case cities' three key aspects of the TOD model: public transit system, spatial form, and land use, and summarizes the characteristics of TOD models in the two countries from a city-level perspective, to help deepen the global understanding of TOD.

• Biomolecules & Therapeutics
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• v.22 no.4
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• pp.267-274
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• 2014

Drug development and preclinical trials are challenging processes and more than 80% to 90% of drug candidates fail to gain approval from the United States Food and Drug Administration. Predictive and efficient tools are required to discover high quality targets and increase the probability of success in the process of new drug development. One such solution to the challenges faced in the development of new drugs and combination therapies is the use of low-cost and experimentally manageable in vivo animal models. Since the 1980's, scientists have been able to genetically modify the mouse genome by removing or replacing a specific gene, which has improved the identification and validation of target genes of interest. Now genetically engineered mouse models (GEMMs) are widely used and have proved to be a powerful tool in drug discovery processes. This review particularly covers recent fascinating technologies for drug discovery and preclinical trials, targeted transgenesis and RNAi mouse, including application and combination of inducible system. Improvements in technologies and the development of new GEMMs are expected to guide future applications of these models to drug discovery and preclinical trials.

• ETRI Journal
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• v.25 no.2
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• pp.121-132
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• 2003

To enhance the productivity of software development and accelerate time to market, software developers have recently paid more attention to a component-based development (CBD) approach due to the benefits of component reuse. Among CBD processes, the identification of reusable components is a key but difficult process. Currently, component identification depends mainly on the intuition and experience of domain experts. In addition, there are few systematic methods or tools for component identification that enable domain experts to identify reusable components. This paper presents a systematic method and its tool called a component identifier that identifies software components by using object-oriented domain information, namely, use case models, domain object models, and sequence diagrams. To illustrate our method, we use the component identifier to identify candidates of reusable components from the object-oriented domain models of a banking system. The component identifier enables domain experts to easily identify reusable components by assisting and automating identification processes in an earlier development phase.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.3
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• pp.344-354
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• 2008

The ITA meta-model descriptions being promoted by Korean government was developed to build information technology architecture for applications in public institutions. However, the application of this ITA meta-model is not easy because of the complexity and overlapping between classes and attributes which reside in the ITA meta-models. Additionally, the National Defense Architecture is planned for development using the MND-AF. Since the National Defense Architecture must align with the Government ITA for interoperability and consistency, it is crucial the differences in the meta-models between MND-AF and Government ITA must be resolved. This study presents the trade-off results between the meta-models of MND-AF and Government ITA. It also proposes a set of tailored meta-models for use with the National Defense architecture development. The tailored meta-models use an ERA (Element, Relationship, Attribute) data structure that decreases complexity and eliminates the overlapping between classes and attributes.

• ETRI Journal
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• v.9 no.3
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• pp.139-156
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• 1987

The problems in software cost management are well known. Cost estimates are too low. Software development projects frequently have cost overruns, which are due to poor estimates. A fair amount of work have been done toward developing cost estimation models. These models vary in their outputs (e. g., total cost, manning schedule) and in the factors used to calculate their estimates. They also vary with regard to the type of formula, parameters, use of previous data, and staffing considerations. This paper will distinguish them by the type of formula they use to calculate total effort and staffing level, and will discuss enough models to demonstrate the characteristics of each model category.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.1
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• pp.64.3-64.3
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• 2015

We have developed a set of daily solar flare peak flux forecast models for strong flares using multiple linear regression and artificial neural network methods. We consider input parameters as solar activity data from January 1996 to December 2013 such as sunspot area, X-ray flare peak flux and weighted total flux of previous day, and mean flare rates of McIntosh sunspot group (Zpc) and Mount Wilson magnetic classification. For a training data set, we use the same number of 61 events for each C-, M-, and X-class from Jan. 1996 to Dec. 2004, while other previous models use all flares. For a testing data set, we use all flares from Jan. 2005 to Nov. 2013. The best three parameters related to the observed flare peak flux are weighted total flare flux of previous day (r = 0.51), X-ray flare peak flux (r = 0.48), and Mount Wilson magnetic classification (r = 0.47). A comparison between our neural network models and the previous models based on Heidke Skill Score (HSS) shows that our model for X-class flare is much better than the models and that for M-class flares is similar to them. Since all input parameters for our models are easily available, the models can be operated steadily and automatically in near-real time for space weather service.

• The Transactions of the Korea Information Processing Society
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• v.13 no.2
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• pp.18-25
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• 2024

This study proposes the utilization of a model registry to secure interoperability among urban domain information models. It reviews urban information and data sharing along with related standards and standardization activities. By analyzing registry use cases in the context of Spatial Data Infrastructure (SDI), it presents the concept of a model registry for facilitating information sharing and exchange among urban domain information models. An use case linking urban domain information models using the model registry is developed with a prerequisite of seamless implementation of smart city services. The paper discusses technical requirements and outlines technology implementation and validation through prototype development, highlighting them as future research tasks.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1998.10a
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• pp.344-348
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• 1998

FEM numerical models have been known to provide an extensive applicability to the field of water resources development. However, some of restrictions such as requiring considerable number of input data and numerous subprocess were the problem of using such FEM numerical models. Especially, where the model is applied to the complex coastal area, difficulties will be intensified. Therefore it is necessary that the profitable user interface, data optimization, and structured system should be developed if the models could be used effectively. In this study, it is intended that development of integrated system for simulations of FEM numerical models to give better applicability in the field of water resources development. By using integrated system which was developed in this study, it would be concluded that the efforts to need some treatments for subprocesses of the FEM numerical model were decreased and GUI environment proved to be convinient for use for the on-the-job users.

• The KIPS Transactions:PartD
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• v.12D no.1 s.97
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• pp.103-110
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• 2005

Software Development is converting from structural to object oriented method. The later software development prefers the iterative process applications, not aterfall process and based on use case model, the requirements are expressed and based on this, analysis, design and coding are accomplished. Therefore, size of the software to be developed is estimated basing on use case and it is only possible to maintain the project success by estimating development effort, cost and development period. Even though development effort estimation models related current use case point. there is no appropriate development effort estimating. This paper shows, as a result of applying the development effort estimating model about UCP to the growth curve, a superior performance improvement to current statistical models. Therefore, estimation of development effort by applying this model, project development maintenance can be appropriately carried out.