• 한국지리정보학회지
• /
• 제9권2호
• /
• pp.206-216
• /
• 2006

본 연구의 주된 목적은 환경지리정보체계(이하 EGIS)의 성과분석을 위한 분석모형 중 IT BSC의 적합성을 검토하고, 이를 실제로 적용해 봄으로써 나타나는 분석결과를 바탕으로 EGIS의 체계적 성과관리를 위한 바람직한 방향을 제시하는 것이다. 이러한 목적을 달성하기 위해 본 연구는 기존의 BSC를 이용한 정보시스템 성과측정 모형을 EGIS에 맞게 재정립하였다. 정립된 분석모형을 이용하여 지난 5년간 EGIS가 낸 성과를 도출하고 각각의 근본원인을 규명하여 향후 개선방향의 기반자료로 활용하였다. 최종적 성과를 종합하기 위하여 핵심성과지표 별 측정치와 AHP를 통하여 산출된 가중치를 곱하여 환산한 결과 환경지리정보체계의 종합성과는 총 105.3점으로 산출되어, '성과목표 달성'의 기준이 되는 100점을 넘어서 5.3점 만큼의 성과를 더 낸 것으로 나타났다. 성과분석결과 기존의 재무적 관점 이외의 다양한 관점으로 환경지리정보체계의 균형적 성과를 살펴 본 것이 본 연구의 장점이며, 이와 같은 성과가 환경분야에 어떠한 영향을 미치는가에 대한 향후 연구가 필요하다.

• 한국정밀공학회지
• /
• 제32권11호
• /
• pp.953-960
• /
• 2015

The thermoforming process has been widely used to manufacture medium- and large-sized plastic parts because of the relatively low cost and high productivity, as compared with other plastic forming processes. One of current salient issues of thermoforming industries is the reduction of trial and error during the production of the thermoformed product. Hence, there is a significant increasing interest in the thermoforming analysis by the thermoforming industries. The goal of this paper is to investigate a methodology of the three-dimensional thermoforming analysis for medium- and large-sized plastic parts. There is a discussion about methodologies of thermoforming analysis, as well as material modeling, and three-dimensional finite element analysis. Furthermore, there is an examination, through case studies, about the applicability of the proposed methodology concerning the thermoforming analysis.

• Geomechanics and Engineering
• /
• 제8권2호
• /
• pp.153-171
• /
• 2015

The observational method in tunnel engineering allows the evaluation in real time of the actual conditions of the ground and to take measures if its behavior deviates considerably from predictions. However, it lacks a consistent and structured methodology to use the monitoring data to adapt the support system in real time. The definition of limit criteria above which adaptation is required are not defined and complex inverse analysis procedures (Rechea et al. 2008, Levasseur et al. 2010, Zentar et al. 2001, Lecampion et al. 2002, Finno and Calvello 2005, Goh 1999, Cui and Pan 2012, Deng et al. 2010, Mathew and Lehane 2013, Sharifzadeh et al. 2012, 2013) may be needed to consistently analyze the problem. In this paper a methodology for the real time adaptation of the support systems during tunneling is presented. In a first step limit criteria for displacements and stresses are proposed. The methodology uses graphics that are constructed during the project stage based on parametric calculations to assist in the process and when these graphics are not available, since it is not possible to predict every possible scenario, inverse analysis calculations are carried out. The methodology is applied to the "Bois de Peu" tunnel which is composed by two tubes with over 500 m long. High uncertainty levels existed concerning the heterogeneity of the soil and consequently in the geomechanical design parameters. The methodology was applied in four sections and the results focus on two of them. It is shown that the methodology has potential to be applied in real cases contributing for a consistent approach of a real time adaptation of the support system and highlight the importance of the existence of good quality and specific monitoring data to improve the inverse analysis procedure.

• Asia pacific journal of information systems
• /
• 제16권3호
• /
• pp.177-192
• /
• 2006

Following the idea of "what you measure is what you get," this paper discusses the necessity to improve the plan and management of Application Service Provider (ASP) service based on performance evaluation. The Balanced Scorecard (BSC) has been used as a tool for suggesting the measures that can evaluate performance of a company by considering both financial and non-financial perspectives. The current BSC does not provide techniques to formally define, verify, implement and analyze the performance measures of ASP. Therefore, we developed a methodology for strategy development of ASP service by analyzing the BSC performance measures. This methodology provides a strategy for improving ASP service. The methodology proposed in this paper provide executives with core parts for achieving vision as well as the corresponding interpretation model for developing strategy. The methodology consists of the following two phases: BSC and Importance-Performance Analysis (IPA) phase. The methodology is illustrated through a case study in each phase. The case study shows practical deployment of our methodology.

• 한국전산유체공학회지
• /
• 제7권3호
• /
• pp.44-52
• /
• 2002

An analytic methodology was developed for free surface motions between liquid metal coolant and cover gas in order to calculate the phenomena of gas entrainment in hot pool surface through IHX EMP and reactor core. The methodology was setup by applying the first order VOF convection model to CFX4 general purpose fluid dynamics analysis code. The methodology was validated by applying it to an experimental apparatus designed for free surface motions of KALIMER reactor. The distributions of free surface calculated by the present methodology were almost coincident with the experimental data. The developed methodology was applied to the KALIMER reactor of full power operating condition. The shapes of the free surface were nearly uniform. From the results, it was found that the altitude of the free surface from the IHX inlet nozzle of KALIMER reactor is high enough not to affect to free surface motions of generating gas bubbles from the turbulent shear flows such as hydraulic jump and water falls.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제5권3호
• /
• pp.268-273
• /
• 2005

We propose the specialized product-line development methodology for developing the embedded system of an MSDFS (Multi Sensor Data Fusion System : called MSDFS). The product-line methodology provides a simultaneous design between software and hardware, high level reusability. However this is insufficient in requirement analysis stage due to be focused on software architecture, detailed design and code. Thus we apply the business model based on IDEF0 technique to traditional methodology. In this paper, we describe the processes of developing Core-Asset, which are requirement analysis, feature modeling, validation. The proposed model gives the efficient result for eliciting features, and ensures the high level reusability of modules performing on embedded system.

• 한국IT서비스학회지
• /
• 제9권2호
• /
• pp.193-203
• /
• 2010

Service-Oriented Architecture (SOA) is a new trend for the design of application architecture to enhance the degree of share and reuse with the concept of service. It comes from the current situation where the business environments are changing rapidly and therefore competitions are getting bitter. To cope with such business challenges, business (and/or applications) architecture needs considerably flexibility and reusability, and that's why SOA is accepted as one of the most effective framework for the business applications in these days. In this paper we propose an analysis and design methodology for the applications of SOA. To implement the proposed methodology, the service ontology needs to be defined first, and the tasks such as service profiling, workflow design and service orchestration need to be followed. To validate the expected effects on flexibility and reusability, the proposed methodology was compared with CBD (Component Based Development).

• International Journal of Computer Science & Network Security
• /
• 제22권11호
• /
• pp.229-235
• /
• 2022

This study aims to substantiate an interdisciplinary methodology for automated analysis and qualitative assessment of legislation and court decisions. The development of this kind of methodology will make it possible to fill a number of methodological gaps in various research areas, including law effectiveness assessment and legal monitoring. We have defined a methodology based on the interdisciplinary principles and tools. In general, it should be noted that even at the level of qualitative assessment made with the use of the methodology described above, the accumulation of knowledge about the relationship between legal objectives, indicators and computer methods of their identification can reduce the role of expert knowledge and subjective factor in the process of assessment, planning, forecasting and control over the state of legislation and law enforcement. Automation of intellectual processes becomes inevitable in a digital society, but, releasing experts from routine work, simultaneously reorients it to development of interdisciplinary methods and control over their application.

• Geomechanics and Engineering
• /
• 제15권4호
• /
• pp.937-945
• /
• 2018

A probabilistic study of a reinforced earth wall in a frictional soil using the surface response methodology (RSM) is presented. A deterministic model based on numerical simulations is used (Abdelouhab et al. 2011, 2012b) and the serviceability limit state (SLS) is considered in the analysis. The model computes the maximum horizontal displacement of the wall. The response surface methodology is utilized for the assessment of the Hasofer-Lind reliability index and is optimized by the use of a genetic algorithm. The soil friction angle and the unit weight are considered as random variables while studying the SLS. The assumption of non-normal distribution for the random variables has an important effect on the reliability index for the practical range of values of the wall horizontal displacement.

• 한국원자력학회:학술대회논문집
• /
• 한국원자력학회 1995년도 추계학술발표회논문집(1)
• /
• pp.293-299
• /
• 1995

A methodology is applied to identify tile learning trend related to the safety and availability of U.S. commercial nuclear power plants. The application is intended to aid in reducing likelihood of human errors. To assure that tile methodology ran be easily adapted to various types of classification schemes of operation data, a data bank classified by the Transient Analysis Classification and Evaluation(TRACE) scheme is selected for the methodology. The significance criteria for human-initiated events affecting tile systems and for events caused by human deficiencies were used. Clustering analysis was used to identify the learning trend in multi-dimensional histograms. A computer rode is developed based on tile K-Means algorithm and applied to find the learning period in which error rates are monotonously decreasing with plant age.