• Wind and Structures
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• v.24 no.3
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• pp.223-247
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• 2017

By using numerical simulation, vast and detailed information and observation of the physics of flow over a train model can be obtained. However, the accuracy of the numerical results is questionable as it is affected by grid convergence error. This paper describes a systematic method of computational grid refinement for the Unsteady Reynolds Navier-Stokes (URANS) of flow around a generic model of trains using the OpenFOAM software. The sensitivity of the computed flow field on different mesh resolutions is investigated in this paper. This involves solutions on three different grid refinements, namely fine, medium, and coarse grids to investigate the effect of grid dependency. The level of grid independence is evaluated using a form of Richardson extrapolation and Grid Convergence Index (GCI). This is done by comparing the GCI results of various parameters between different levels of mesh resolutions. In this study, monotonic convergence criteria were achieved, indicating that the grid convergence error was progressively reduced. The fine grid resolution's GCI value was less than 1%. The results from a simulation of the finest grid resolution, which includes pressure coefficient, drag coefficient and flow visualization, are presented and compared to previous available data.

• Communications for Statistical Applications and Methods
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• v.27 no.6
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• pp.641-647
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• 2020

The 2 × 3 crossover design, a modified version of the 3 × 3 crossover design, is considered to compare the bioavailability of two generic candidates with a reference drug. The 2 × 3 crossover design is more economically favorable due to decrease in the number of sequences, rather than conducting a 3×3 crossover trial or two separate 2 × 2 crossover trials. However, when using a higher-order crossover trial, the risk of drop-outs and withdrawals of subjects increases, so the suitable statistical inferences for missing data is needed. The bioequivalence model of a of 2×3 crossover trial with missing data is defined and the statistical procedures of assessing bioequivalence is proposed. An illustrated example of the 2 × 3 trial with missing data is also presented with discussion.

• Nuclear Engineering and Technology
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• v.50 no.8
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• pp.1314-1323
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• 2018

For nuclear power plants (NPPs) to have long lifetimes, ageing is a major issue. Currently, ageing management for NPP systems is based on correlations built from generic experimental data. However, each system has its own characteristics, operational history, and environment. To account for this, it is possible to resort to prognostics that predicts the future state and time to failure (TTF) of the target system by updating the generic correlation with specific information of the target system. In this paper, we present an application of particle filtering for the prediction of degradation in steam generator tubes. With a case study, we also show how the prediction results vary depending on the uncertainty of the measurement data.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.613-616
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• 2008

This study presents an IFC-based information model for standardized and integrated information management system of tunnel monitoring. Information items of tunnel monitoring were extracted from the Tunnel Design Standard of Ministry of Construction and Transportation. Then, the information items were compared with components of IFC 2x Edition3 model. Two main entities are added into the IFC model for generic representing of monitoring devices and data. IfcMonitoringElement which is composed of IfcMonitoringLogger and IfcMonitorinSensor is proposed to represent physical information of data loggers and sensors, and relationship between data logger and sensors. Besides, as an additional resource of IFC model, IfcMonitoringData is provided to express measured data from sensors and warning histories.

• Korean Management Science Review
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• v.15 no.2
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• pp.177-200
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• 1998

One of organization's generic functions is the interpretation of events to carry out decision-making activities. In intelligent Data Interpretation System(IDIS), Interpreting is computationally modeled as classification of new data into categories having similar features. We define the Extensional Object Model(ExOM) as a formalism for IDIS. In ExOM, objects and categories are loosely coupled to provide flexibility for both object description and category definition in data gathering and interpretation process. Objects are classified inductively based on exemplars of categories as well as deductively based on category structures.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2926-2932
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• 2014

Smart Phone market consists of several platforms such as Windows Phone, Apple iOS and Android of Google. Each platform uses different coding style respectively. Platform-dependent application results in high cost and low code reusability during development of application. It also provides heterogeneous display forms to users. In this paper, we propose a platform-independent generic interface model that could be operated in both the various smart phones and PC. Because the proposed model provides the same UI on multiple platforms, users can operate applications without awkwardness. The model includes a module which copes with the changes of the resolutions in various platforms and a module which switches scenes of each application for performance improvement. Moreover, a module which connects DB is also proposed in order to overcome the difference of way to store data in each platform. The implementation results show that the difference of display and operating manner in any hetero-platform is eliminated.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.23 no.1
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• pp.1-6
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• 2014

This paper describes a method of estimating and evaluating the volumetric errors of multi-axis machine tools. The estimation method is based on a generic model that was developed from conventional kinematic error models for the geometric and thermal errors to help predict the volumetric error easily in various configurations. To demonstrate the advantages of the model, an application in the early stages of a five-axis machine tool design is presented as an example. The model was experimentally evaluated for a four-axis machine tool by using the data from ISO230-6 and R-test measurements to compare the estimated and measured volumetric errors.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.1891-1894
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• 2002

XML DBMS는 XML 문서의 직접적인 접근과 문서의 부분, 문서와 그 문서의 부분들을 통한 질의를 할 수 있는 능력을 가져야 한다. 이러한 XML DBMS의 사용은 복잡한 계층적 관계의 범위로부터 데이터를 얻어내는데 특히 유용하게 사용될 수 있다. 일반적으로 XML DBMS를 구축하기 위해서는 다른 DBMS 위에 덧붙이거나, 처음부터 만들거나, 새 제품을 구입할 수 있을 것이다. XML DBMS를 처음부터 새롭게 생성하는 것은 메모리 할당과 문서 조각의 효율적인 검색을 신중히 생각해야 한다. 다른 DBMS 위에 XML DBMS를 구축하는 것은 빠르게 구축할 수 있고, 하부를 구성하는 DBMS의 저장소를 사용할 수 있다는 이점이 있다. 또한 현재 존재하는 애플리케이션들과 기존의 자료와 통합이 쉬울 수 있다. 이러한 관계형 DBMS는 현 시장에서 상당히 많은 부분을 차지하는 제품으로서, 새로운 DBMS로의 이전을 하기 위해서는 상당한 어려움이 있다. 이러한 제약을 해결하기 위하여 기업에서 선택해야 할 방법은 관계형 DBMS를 XML DBMS로 변환하는 방법과 관계형 DBMS와 XML을 접목시키는 방안이 있을 수 있다. 본 연구는 관계형 DBMS에 XML 어댑터의 기능을 적용한 XML DBMS를 설계하였다. 이와 같은 방법의 DBMS를 구축하면, 기존의 관계형 DBMS를 변경하지 않으면서, XML DBMS로의 기능을 수행 할 수 있게 하면, 시스템 구축에도 적은 비용으로 커다란 효과를 얻을 수 있을 것이다.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1606-1609
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• 2002

MAC state models appeared with an effort to overcome technical demerits of CDMA in provisioning packet data service. In the scenario of sojourn and transition on MAC states, the design of state sojourn time is a critical issue for an efficient utilization of limited recource; a longer sojourn time leads to more resource being preserved for inactive stations, while more connection components should be recovered with a shorter sojourn time. Thus, the sojourn time at each MAC state must be optimized in consideration of these two conflicting arguments. In this paper, we first present a generic MAC state model. Secondly, based on the generic model, we reveal a relation of inactive period and the delay time of the last packet served in pre- ceding active period and specify a loss function reflect-ing two antinomic features that result from a change of state sojourn time. Using the proposed loss function, we construct a decision problem to find an optima3 rule for state sojourn times. Finally, we present a way of computing Bayes rule by use of the posterior distribution of inactivity duration for given observation on the delay time of last packet. Furthermore, Bayes rules are explicitly expressed for special arrival processes and investigated with respect to traffic load and loss parameters.

• Journal of Communications and Networks
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• v.12 no.4
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• pp.382-394
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• 2010

Cross-domain event information sharing is a topic of great interest in the area of event based network management. In this work we use data sets which represent actual attacks in the operational Internet. We analyze the data sets to understand the dynamics of the attacks and then go onto show the effectiveness of sharing incident related information to contain these attacks. We describe universal data acquisition system for event based management (UniDAS), a novel system for secure and automated cross-domain event information sharing. The system uses a generic, structured data format based on a standardized incident object description and exchange format (IODEF). IODEF is an XML-based extensible data format for security incident information exchange. We propose a simple and effective security model for IODEF and apply it to the secure and automated generic event information sharing system UniDAS. We present the system we have developed and evaluate its effectiveness.