• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.7-14
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• 2011

Infinite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rate per fault (hazard function). This infinite non-homogeneous Poisson process is model which reflects the possibility of introducing new faults when correcting or modifying the software. In this paper, polynomial hazard function have been proposed, which can efficiency application for software reliability. Algorithm for estimating the parameters used to maximum likelihood estimator and bisection method. Model selection based on mean square error and the coefficient of determination for the sake of efficient model were employed. In numerical example, log power time model of the existing model in this area and the polynomial hazard function model were compared using failure interval time. Because polynomial hazard function model is more efficient in terms of reliability, polynomial hazard function model as an alternative to the existing model also were able to confirm that can use in this area.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.32-36
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• 2002

본 논문에서는 워크플로우 시스템의 관리에 유용한 잠재 규clr을 도출하기 위한 프레임워크를 제안한다. 워크플로우 시스템의 전반적인 수행과정 관리에는 워크플로우 시스템의 모니터링 기능이 이용된다. 그러나 기존의 모니터링 기능은 시스템 수행과정에 대만 관리가 해당 시점에 한정된다는 문제점과, 모니터링 툴이 제공하는 이력 정보는 가공되지 않은 단순한 데이터베이스 필드 수준이라는 문제점이 있다. 따라서 본 연구에서는 워크플로우 시스템에 데이터 마이닝 기법을 이용해 누적된 데이터로부터 얻을 수 잇는 공통의 잠재 규칙에 대한 정보를 제공함으로써 기존의 모니터링 기능을 보완한다. 제안된 방법론은 분석 데이터 추출. 전처리. 연관관계 분석등의 단계를 거치며. 이러한 과정을 통해 워크플로우 시스템 관리에 유용한 잠재 규칙이 도출된다. 도출된 잠재 규칙은 추후 워크플로우 시스템에서 BPR(Business Process Reengineering)의 근거로 사용될 수 있다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.979-986
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• 2002

Constraint Programming is an appealing technology for modeling and solving various real-world problems. and metaheuristic is the most successful technique available for solving large real-world vehicle routing problems. Constraint Programming and metaheuristic are complementary to each other. This paper describes how iterative improvement techniques can be used in a Constraint Programming framework(LOG Solver and ILOG Dispatcher) for Vehicle Routing Problem. As local search gets trapped in local solution, the improvement techniques are used in conjunction with metaheuristic method.

• Korean Management Science Review
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• v.24 no.2
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• pp.115-126
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• 2007

Weekly minima of daily log returns of Korean composite stock price index 200 and its five industry-based business divisions over the period from January 1990 to December 2005 are fitted using two block-based extreme distributions: Generalized Extreme Value(GEV) and Generalized Logistic(GLO). Parameters are estimated using the probability weighted moments. Applicability of two distributions is investigated using the Monte Carlo simulation based empirical p-values of Anderson Darling test. Our empirical results indicate that both the GLO and GEV models seem to be comparably applicable to the weekly minima. These findings are against the evidences in Gettinby et al.[7], who claimed that the GEV model was not valid in many cases, and supported the significant superiority of the GLO model.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.299-307
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• 2006

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.21-33
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• 1999

This study was designed to develop a basic plan for computerization of nursing records. The subjects were 7 nursing record forms, 58 charts, 23 nurses, 2 nurse managers, a nurse and computer specialist, 16 master course students and 3 professors. Data collection was conducted through questionnaire, observation and interview. The collected data were analyzed for problems, plan of improvement and needs for computerization. Based upon these results, it is recommended that nursing record computerization was needed a basic plan to integrate needs of nursing record computerization. The basic plan as fellows : 1. To illustrate a data flow path of nursing record and data dictionary that show nurse's work and record process. 2. To establish a system in order to use multi -tasking and graphic user interface. 3. To establish hardware and software in order to embody integrated management of computer based system through structured walkthrough. 4. To choose effective database management system and to achieve Log as record unit.

• Journal of the Korea Safety Management & Science
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• v.4 no.4
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• pp.119-128
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• 2002

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. from this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.1-6
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• 2005

To improve safety management of railway and cope with the factors to threat technical and social safety, we need to establish railway safety management system based on analysis of hazards and assessment of risk for railway system. So we have to conduct PHA(Preliminary Hazard Analysis) first to understand weak points and factors to possibly threat safety using analysis of related data such as past accident/incident data and safety regulation and classification standards of hazards/causes of railway accidents. Therefore in this research, we led types/dangerous events/causes of risks/factors of risks from hazard log developed based on railway accident classification and hazards of railway accident. PHA model for domestic railway system will be used in risk analysis and risk assessment of railway accident.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.32-37
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• 2005

Many developed countries use risk based safety management system. Currently many research efforts are made for the application of risk concept in safety management within the boundary of the railway safety act 2005. But results of these efforts can be applied around 2008 due to many background data and analysis techniques. For the prompt and efficient construction of mid and long term safety plan$(2006\~2010)$ various reports on safety issues and expert opinions are analysed in this study without risk analysis. Identification of railway safety issues are summarized and effective measure are proposed in this study.

• Journal of Korean Society for Quality Management
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• v.26 no.1
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• pp.74-87
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• 1998

This study considers optimal design of accelerated life tests under constant stress using that the first passage time to cross a critical boundary through amount of accumulated degradation has an inverse Gaussian distribution when the degradation process follows to a Brownian motion with positive drift of log linear function of stress. Optimum plans for Type I censoring are derived by minimizing the asymptotic variance of estimated quantiles at the use stress. Sensitivity analyses are also conducted to see how sensitive the optimality criterion is with respect to the uncertainties involved in the guessed values.