• Journal of Korea Water Resources Association
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• v.40 no.1 s.174
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• pp.73-88
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• 2007

The goal of this research is to develop and apply the generalized regression neural networks model(GRNNM) embedding genetic algorithm(GA) for the estimation and calculation of the pan evaporation(PE), which is missed or ungaged and of the alfalfa reference evapotranspiration ($ET_r$), which is not measured in South Korea. Since the observed data of the alfalfa 37. using Iysimeter have not been measured for a long time in South Korea, the Penman-Monteith(PM) method is used to estimate the observed alfalfa $ET_r$. In this research, we develop the COMBINE-GRNNM-GA(Type-1) model for the calculation of the optimal PE and the alfalfa $ET_r$. The suggested COMBINE-GRNNM-GA(Type-1) model is evaluated through training, testing, and reproduction processes. The COMBINE-GRNNM-GA(Type-1) model can evaluate the suggested climatic variables and also construct the reliable data for the PE and the alfalfa $ET_r$. We think that the constructive data could be used as the reference data for irrigation and drainage networks system in South Korea.

• Journal of Convergence Society for SMB
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• v.1 no.1
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• pp.45-53
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• 2011

There are always many kinds of risks in software development such as frequent changes of requirements. Especially those risks related to the software characteristic of non-visibility can be threat to the project success. That lead us to the need of process implementation to reduce and minimize those risks. Although, most of the organization recognizes the importance of risk management, actual implementation requires professional knowledge in this area. CMMI, the de facto standard in process reference model, also emphasizes on risk management process area but only provides goals and practices to be implemented, not detail procedure and methods. In this paper, we developed Risk management implementation model based on IDEAL, the process improvement model based on CMMI. The proposed model will help the organizations to implement risk management process which is proper to their situation in the factor of organization size and project characteristics.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.2
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• pp.265-291
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• 2013

Because of the increased interest in health, medical care, and wellness, the utilization of health-related information resources, especially those found on the Internet, has been rapidly increasing. In addition, despite encountering an increasing number of health and medical-related reference questions in public libraries, public librarians feel limitations in their ability to perform these types of reference services. Therefore, this study proposed the cooperative network system model for vitalizing CHI Services, meaning that all the related agencies, including public libraries, medical libraries, medical institutions, and the health and medical community collaboratively provide consumer health information service. This study presented in detail the key elements of the cooperation model, the subject of cooperation, target sources for cooperation, the content of cooperation, operations of CHI-providing sites, operations and roles of Cooperation Centers, and directions for cooperating with commercial institutions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1999.10a
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• pp.19-33
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• 1999

This paper is concerned with developing a standard costing model based on the case study of PECT and GCT and analysing their profitability in order to improve operation efficiency and design business strategy. In doing so, the model can be a useful tool to analyze current calculation system of lease charge at the two terminals and to judge whether the level of lease charge currently applied to them is justifiable for their profitability. This paper also deals with break-even analysis of container terminal operating companies on the basis of the model and forecast of their profitability. On the top of that, it tries to look into the arguments and to suggest proposals for improving their profitability.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.258-260
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• 2010

통계지리정보는 기존의 텍스트 기반 통계정보를 공간정보와 결합한 정보로서 공공 민간 분야의 다양한 의사결정을 위한 핵심 기반 정보로 그 활용성이 주목받고 있다. 본 논문은 통계지리 정보와 이를 이용한 서비스 구축 및 유지 관리 과정에서 발생하는 상호운용성 문제의 해결을 위한 접근방법으로 기존의 공간정보 표준 참조 모델들을 기반으로 통계지리 정보 및 서비스 참조모델을 제안하고, 각각의 정보 및 서비스 분류에 해당하는 표준화 요구사항을 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.31-42
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• 2010

GPM(Generic Product Model) developed by Hitachi in Japan is a common data model to integrate and share life cycle data of nuclear power plants. GPM consists of GPM core model, an abstract model, implementation language for the model and reference library written in the language. GPM core model has a feature that it can construct a semantic network model consisting of relationships among objects. Initial GPM developed and provided GPML as an implementation language to support the feature of the core model, but afterwards the GPML was replaced by GPM-XML based on XML to achieve data interoperability with heterogeneous applications accessing a GPM data model. However, data models written in GPM-XML are insufficient to be used as a semantic network model for lack of studies which support GPM-XML and enable the models to be used as a semantic network model. This paper proposes OWL as the implementation language for GPM core model because OWL can describe ontologies similar to semantic network models and has an abundant supply of technical standards and supporting tools. Also, OWL which can be expressed in terms of RDF/XML based on XML guarantees data interoperability. This paper uses OWL DL, one of three sublanguages of OWL, because it can guarantee complete reasoning and the maximum expressiveness at the same time. The contents of this paper introduce the way how to overcome the difference between GPM and OWL DL, and, base on this way, describe how to convert the reference library written in GPML into ontologies based on OWL DL written in RDF/XML.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.5
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• pp.437-450
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• 2014

In this study, we developed a methodology to determine the reference parameter for an aircraft impact induced risk assessment of nuclear power plant (NPP) using finite element impact analysis of containment building. The target structure used to develop the method of reference parameter selection is one of the typical Korean PWR type containment buildings. We composed a three-dimensional finite element model of the containment building. The concrete damaged plasticity model was used for the concrete material model. The steels in the tendon, rebar, and liner were modeled using the piecewise-linear stress-strain curves. To evaluate the correlations between structural response and each candidate parameter, we developed Riera's aircraft impact force-time history function with respect to the variation of the loading parameters, i.e., impact velocity and mass of the remaining fuel. For each force-time history, the type of aircraft is assumed to be a Boeing 767 model. The variation ranges of the impact velocity and remaining fuel percentage are 50 to 200m/s, and 30 to 90%, respectively. Four parameters, i.e., kinetic energy, total impulse, maximum impulse, and maximum force are proposed for candidates of the reference parameter. The wellness of the correlation between the reference parameter and structural responses was formulated using the coefficient of determination ($R^2$). From the results, we found that the maximum force showed the highest $R^2$ value in most responses in the materials. The simplicity and intuitiveness of the maximum force parameter are also remarkable compared to the other candidate parameters. Therefore, it can be concluded that the maximum force is the most proper candidate for the reference parameter to assess the aircraft impact induced risk of NPPs.

• Journal of the Korean Society for Railway
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• v.12 no.4
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• pp.499-505
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• 2009

This paper evaluated applicability of railroad reference points for determinating geoid heights. For this research, reference points on the Honam express raildroad which contain ellipsoid heights estimated by GPS/Leveling and orthometric heights by leveling were used. Geoid heights were calculated uisng orthometric and ellipsoid heights of 360 railroad reference points, and the RMSE's with respect to different intervals of reference points were analysed which were induced by interpolation methods. The results showed that no significant difference of RMSE's among interpolation. methods. RMSE's of 0-4km interval of reference points were determined within 2cm and 5-8km were within 3cm. Also, this research confirmed that GPS leveling with Geoid model is not auurate enough to be used for railroad surveying as yet.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.51-54
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• 2008

유비쿼터스도시(u-City) 에서 제공할 서비스 즉, u-City서비스를 실제로 구현하기 위해서 사용되는 기술을 u-City 기술이라고 할 수 있다 본 논문에서는 u-City서비스, u-City 기반시설 그리고 u-City 기술들 간의 관계를 명확히 설명하기 위한 도구로서 u-City 기술 참조모델을 정의하였다. 이러한 참조모델을 사용함으로써 u-City 구축자, 서비스 제공자, 운영자, 이용자 등 여러 u-City 참여자들이 공감할 수 있는 서비스-기술 연계 모델을 제시하였으며 향후 u-IT 세부 기술이 발전하고 새로운 u-City 서비스가 추가되어도 이를 원활히 수용할 수 있도록 하였다.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.241-264
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• 2022

Bibliographic metadata can help researchers effectively utilize essential publications that they need and grasp academic trends of their own fields. With the manual creation of the metadata costly and time-consuming. it is nontrivial to effectively automatize the metadata construction using rule-based methods due to the immoderate variety of the article forms and styles according to publishers and academic societies. Therefore, this study proposes a two-step extraction process based on rules and deep neural networks for generating bibliographic metadata of scientific articlles to overcome the difficulties above. The extraction target areas in articles were identified by using a deep neural network-based model, and then the details in the areas were analyzed and sub-divided into relevant metadata elements. IThe proposed model also includes a model for generating reference summary information, which is able to separate the end of the text and the starting point of a reference, and to extract individual references by essential rule set, and to identify all the bibliographic items in each reference by a deep neural network. In addition, in order to confirm the possibility of a model that generates the bibliographic information of academic papers without pre- and post-processing, we conducted an in-depth comparative experiment with various settings and configurations. As a result of the experiment, the method proposed in this paper showed higher performance.