• IE interfaces
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• v.6 no.2
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• pp.67-78
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• 1993

In this paper, we deal with the application of the fuzzy sets theory to evaluate and estimate the system reliability under the fault tree analysis. We formulate the uncertainty of component reliability to fuzzy sets, and propose a procedure for obtaining the system reliability in case the system structure is described by fault tree. An importance measure of each component is proposed. Computer program for fuzzy fault tree analysis(FFTA) is developed using C language to obtain the system reliability and the component‘s fuzzy importance.

• Asia pacific journal of information systems
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• v.14 no.4
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• pp.1-22
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• 2004

Customer value is the source for competitive advantage of online businesses such as Internet shopping malls and portal service. It is important to analyze the relationship between customer value and repurchase in order to provide a guideline of successful online business. The purpose of this paper is to get answers for the following questions. First, what are key components of customer value in online business? Second, What difference exists in the importance or expectance of customer value and its current service level of online business? Finally, what influence relationships exist in customer value and repurchase intentions? Data were collected from 615 respondents who experienced purchase on the Internet shopping malls. This paper developed and empirically tested a model representing the relationships between customer value factors and repurchase intentions as well as difference between the importance of customer value and its service level. The findings here suggested that the service level of customer value was significantly lower than its importance, and customer value factors positively affected the repurchase intentions. Specifically, economy and trust/responsiveness value factors directly affected the repurchase intentions while other factors such as convenience, speed, personalization, community, and emotion value indirectly affected it through trust/responsiveness.

• International Journal of High-Rise Buildings
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• v.9 no.3
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• pp.245-253
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• 2020

With the ever-increasing height of timber buildings, the complexity of timber as a structural material gives rise to behaviors not previously studied by engineers. An urgent call is needed regarding their performance in damage scenarios: activating alternative load paths in tall timber buildings is not the same as in tall buildings made with steel and concrete. In this paper we propose a robustness framework covering all building materials, whose application in timber may lead to new conceptual designs for the next generation of tall timber buildings. Qualitatively, the importance of building scale and the distinction between localized and systematic exposures are discussed, and how existing supertall structures can be an example for future generations of tall timber buildings. Quantitatively, the robustness index is introduced alongside a method to calculate the performance of a given building regarding robustness, in order to find the most cost-effective structural solutions for improved robustness. A three-level application recommendation is made, depending on the importance of the building in question. Primarily, the paper highlights the importance of conceptual design to achieve structural robustness and encourages the practicing engineering community to use the proposed framework to quantitatively come up with the new generation of tall timber buildings.

• Journal of KIISE:Software and Applications
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• v.27 no.2
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• pp.97-107
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• 2000

Incremental learning generally reduces training time and increases the generalization of a neural network by selecting training data incrementally during the training. However, the existing methods of incremental learning repeatedly evaluate the importance of training data every time they select additional data. In this paper, an incremental learning algorithm is proposed for pattern classification problems. It evaluates the importance of each piece of data only once before starting the training. The importance of the data depends on how close they are to the decision boundary. The current paper presents an algorithm which orders the data according to their distance to the decision boundary by using clustering. Experimental results of two artificial and real world classification problems show that this proposed incremental learning method significantly reduces the size of the training set without decreasing generalization performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.39-42
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• 2018

Log analysis and monitoring have a significant importance in most of the systems. Log management has core importance in applications like distributed applications, cloud based applications, and applications designed for big data. These applications produce a large number of log files which contain essential information. This information can be used for log analytics to understand the relevant patterns from varying log data. However, they need some tools for the purpose of parsing, storing, and visualizing log informations. "Elasticsearch, Logstash, and Kibana"(ELK Stack) is one of the most popular analyzing tools for log management. For the ingestion of log files configuration files have a key importance, as they cover all the services needed to input, process, and output the log files. However, creating configuration files is sometimes very complicated and time consuming in many applications as it requires domain expertise and manual creation. In this paper, an auto configuration module for Logstash is proposed which aims to auto generate the configuration files for Logstash. The primary purpose of this paper is to provide a mechanism, which can be used to auto generate the configuration files for corresponding log files in less time. The proposed module aims to provide an overall efficiency in the log management system.

• Information Systems Review
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• v.5 no.2
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• pp.53-69
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• 2003

This paper tried to find how the characteristics of purchasing items would have influence on the relational e-procurement. The characteristics of purchasing items include the importance and the complexity of purchasing items. In order to define these characteristics, this paper reviewed various literatures about purchasing strategies. The empirical analysis through the multi-nominal logistic regression shows that the importance of items has influence on relational e-procurement, while the complexity of purchasing process has little influence. And also, the relational e-procurement through EDI as a long term buying relationship is being converted toward the exchange through purchasing sites.

• Journal of the Korean Home Economics Association
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• v.35 no.4
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• pp.243-256
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• 1997

The purpose is to measure the level of quality of life and find the degree of importance of various elements of life domains taking into the area of residence and sex account. this paper is assuming that quality of life is a function of not only of the level of satisfaction but also of the relative importance of the elements. An instrument based on previous research was applied to 686 respondents living in Kyungsan area. Regression analysis indicates that the relative importance of the elements differes between the area of residence as well as the sex of the respondents. Similarities and differences between those factors are discussed and policy implications are porvided.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.4
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• pp.145-152
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• 2010

Under limited resources such as budgets and experts, it is necessary to make decisions for promotion strategy of standardization work items in Information and Communication Technologies (ICTs). This paper focuses on a method of setting standardization promotion strategies for each item of personal information security standardization. As a decision making tool, the Importance Performance Anaysis (IPA) is applied and analyzed to the decision processes. The results are showed and illustrated for useful inputs to practical policy making in the field of standardization activities.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.58 no.1
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• pp.27-32
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• 2009

A technical system generally comprise a number of subsystems and components that are interconnected in such a way that the system is able to perform a set of required function. Because of the complex system structure with serial, parallel and bridged connections, some certain subsystems or components are more critical than the others. The main concern of a reliability engineer is to identify potential failures and to prevent these failures from occurring. In order to prevent fatal failures, proper inspections and maintenance actions for each component are required Considering above objectives of reliability engineers and characteristics of a practical system, several practical method for evaluating system and component reliabilities have developed namely Birnbaum's and Fussell & Vesely's measures. However there are several critical weaknesses in traditional calculation process as the target system gets larger. In this paper, a new technique for calculating component's structural importance is proposed and compared to Birnbaum's with representative system examples (serial, parallel. k out of n, and bridge type).

• Asia pacific journal of information systems
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• v.5 no.2
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• pp.227-257
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• 1995

Increasingly, systems analysts are expected to have behavioral and administrative skills as well as technical skills. This paper presents the results of a nationwide survey of 739 information systems (IS) managers (220 responses) and other functional managers (178) regarding the importance of various skills needed by systems analysts. The findings indicate that IS managers and three functional area managers differ in their perceptions of the importance of skills that system analysts should possess. These differences suggest that IS managers consider the ability to work with others more important than do functional managers. In contrast, three functional manager groups seem to view technical areas more importantly and thus may have greater expectations for technical performance. Also the results indicate that a positive relationship exists between possession of the identified skills and systems effectiveness.