• The Journal of Information Systems
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• v.10 no.1
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• pp.5-25
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• 2001

The main purpose of this paper is to develop a Delphi Decision Support System based on the web, which can improve the conventional Delphi method. Among major drawbacks of the conventional Delphi methods are cost and efforts to distribute and collect the questionnaire by the regular mail and the tardiness in collecting, categorizing, analyzing, and reporting the result of the questionnaire. With the proposed Delphi Decision Support System, the moderator sends the e-mail to invite the member of panels so that they may visit the homepage of the Delphi Decision Support System. When the panelists input their opinions about the issues, the Delphi Decision Support System analyzes the inputs and reports the result without delay. To implement the Delphi Decision Support System, we integrated Microsoft SQL Server 6.5, jdbcKona/MS SQLServer 4 JDBC driver, and Java Development Kit 1.2

• International Commerce and Information Review
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• v.11 no.1
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• pp.353-378
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• 2009

This paper intends to analyse the export assistance programs for SMEs(Small and Medium-Sized Enterprises) located in Gyeongsangbuk-do Province as well as to suggest export promotion policy for the local government. In order to accomplish these objectives, the present paper makes an extensive survey about export-support programs conducted by Gyeongsangbuk-do Province. The survey was rigorously made to evaluate export-support programs taken by the provincial government of Gyeongsangbuk-do and the regional firms' awareness about them. The paper utilized SPSS for empirical analysis. The frequency analysis was used to know the precision of data and its general features. The Crosstabulation Analysis was also used to evaluate firms' recognition about export-support programs and their practical use, satisfaction and relationships with the characteristics of enterprises. The results show that the local government must effectively systematize export support programs and develop export-support programs customized for the characteristics of enterprises in Gyeongsangbuk-do.

• Nuclear Engineering and Technology
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• v.50 no.4
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• pp.562-569
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• 2018

Recently, human errors have very rarely occurred during power generation at nuclear power plants. For this reason, many countries are conducting research on smart support systems of nuclear power plants. Smart support systems can help with operator decisions in severe accident occurrences. In this study, a smart support system was developed by integrating accident prediction functions from previous research and enhancing their prediction capability. Through this system, operators can predict accident scenarios, accident locations, and accident information in advance. In addition, it is possible to decide on the integrity of instruments and predict the life of instruments. The data were obtained using Modular Accident Analysis Program code to simulate severe accident scenarios for the Optimized Power Reactor 1000. The prediction of the accident scenario, accident location, and accident information was conducted using artificial intelligence methods.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.625-636
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• 2013

In this paper we study four kernel machines for estimating expected shortfall, which are constructed through combinations of support vector quantile regression (SVQR), restricted SVQR (RSVQR), least squares support vector machine (LS-SVM) and support vector expectile regression (SVER). These kernel machines have obvious advantages such that they achieve nonlinear model but they do not require the explicit form of nonlinear mapping function. Moreover they need no assumption about the underlying probability distribution of errors. Through numerical studies on two artificial an two real data sets we show their effectiveness on the estimation performance at various confidence levels.

• IE interfaces
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• v.20 no.4
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• pp.488-497
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• 2007

In order to provide appropriate decision supports in medical domain, it is required that clinical knowledge should be implemented in a computable form and integrated with hospital information systems. Healthcare organizations are increasingly adopting tools that provide decision support functions to improve patient outcomes and reduce medical errors. This paper proposes a process centric clinical decision support system based on medical knowledge. The proposed system consists of three major parts - CPG (Clinical Practice Guideline) repository, service pool, and decision support module. The decision support module interprets knowledge base generated by the CPG and service part and then generates a personalized and patient centered clinical process satisfying specific requirements of an individual patient during the entire treatment in hospitals. The proposed system helps health professionals to select appropriate clinical procedures according to the circumstances of each patient resulting in improving the quality of care and reducing medical errors.

• Management & Information Systems Review
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• v.4
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• pp.443-467
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• 2000

This study reviews an overview of the current tax support system for venture company and provides the directions for developing tax support system related policy for the venture company in Korea. The tax authority provides a supporting directions of venture company in three ways: a financing viewpoint, a technical and manpower viewpoint, and the location viewpoint. And the supporting system for venture company is devide into tax support system through tax laws and support system through other law. The requirements of receiving tax support for venture company are a venture company, a small and medium company, a newly starting firm, and so forth. To mitigate the restriction imposed by the current tax law on venture company encourage venture activities in Korea.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.422-432
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• 2019

A hybrid kernel function of support vector machine is proposed to improve the classification performance of power quality disturbances. The kernel function mathematical model of support vector machine directly affects the classification performance. Different types of kernel functions have different generalization ability and learning ability. The single kernel function cannot have better ability both in learning and generalization. To overcome this problem, we propose a hybrid kernel function that is composed of two single kernel functions to improve both the ability in generation and learning. In simulations, we respectively used the single and multiple power quality disturbances to test classification performance of support vector machine algorithm with the proposed hybrid kernel function. Compared with other support vector machine algorithms, the improved support vector machine algorithm has better performance for the classification of power quality signals with single and multiple disturbances.

• Asia pacific journal of information systems
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• v.32 no.2
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• pp.381-394
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• 2022

The present study aimed to examine the relationships between work-related support factors and attitude towards teleworking and explore the moderating effect of self-identity on that relationship. The present study collected data from 343 IT professionals in South Korea through a survey method and used hierarchical multiple regression analyses. In the results, first, the more supervisory or work-related supports participants perceive in teleworking platforms, the more favorable their attitudes towards teleworking. Second, the positive relationship between supervisory support and attitude towards teleworking is stronger for participants high rather than low in interdependent self-view. However, interdependent self-view was found to have no significance on the relationship between work colleague support and attitude towards teleworking. This study is the first to examine the integral model of work-related support factors of attitude towards teleworking and explore the moderating effect of self-identity in the teleworking process.

• Asia pacific journal of information systems
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• v.29 no.1
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• pp.1-34
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• 2019

The concept of e-Government was first developed and implemented in industrialised countries. Consequently, it should not be assumed that this concept is automatically appropriate for developing countries. This study aims to examine the roles of perceived support quality and support satisfaction in the context of government-to-citizen (G2C) transactions towards behavioural intention and usage in developing countries. To test the proposed model, the official website of Kuwait Government Online Services (KGOS) was selected. A survey with a total of 628 responses was analysed using Structural Equation Modelling (SEM) to investigate the goodness of fit of the model and the underlying indicators. The findings confirm the significance of support quality perceived by citizens and provide insights to explain citizens' intention to use e-Government systems.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.60-65
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• 2005

Research on RSS(Really Simple Syndication) based application and services are being deployed both domestically and internationally. The RSS service in the area of science and technology should be flexible to the various sources of information as well as the various platform and environments that they are being serviced. It also requires a standardized system to meet the above needs. We have analyzed the use of RSS services overseas as well as domestic services to suggest the implementation of standard system for the syndication of science and technology information based on RSS.