• Journal of Service Research and Studies
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• v.5 no.2
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• pp.119-132
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• 2015

It is a problem that the poor quality of data hinder the efficient operation and rapid decision-making in enterprises. Thus, we examined if the management class support and business environment could influence the data utilization management in this research. We also verified that relevant activity promotes data utilization for the handling of work or decision-making, thereby affecting customer orientation. The study showed that data utilization quality control is a positive factor for utilizing data for better business decision-making process. It was also confirmed that utilizing the data has indirect effect on customer orientation. Finally we suggested the practical implications to the corporate executives. Future research will be needed to find relationships between data quality management and other factors including management performance.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.7
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• pp.327-332
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• 2016

This study is a leading research project to develop an automatic grade decision making algorithm of a 6-years-old fresh ginseng. For this work, we developed a Ginseng image acquiring instrument which can take 4-direction's images of a Ginseng at the same time and obtained 245 jingen images using the instrument. The 12 parameters were extracted for each image by a manual way. Lastly, 4 parameters were selected depending on a Ginseng grade classification criteria of KGC Ginseng research institute and a survey result which a distribution of averaging 12 parameters. A pattern recognition classifier was used as a support vector machine, designed to "k-class classifier" using the OpenCV library which is a open-source platform. We had been surveyed the algorithm performance(Correct Matching Ratio, False Acceptance Ratio, False Reject Ratio) when the training data number was controlled 10 to 20. The result of the correct matching ratio is 94% of the $1^{st}$ ginseng grade, 98% of the $2^{nd}$ ginseng grade, 90% of the $3^{rd}$ ginseng grade, overall, showed high recognition performance with all grades when the number of training data are 10.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.71-81
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• 2021

This paper examines the ongoing research on ways to improve cybersecurity during the entire life cycle of weapons systems applied in advanced countries such as the United States, analyzes restrictions on obtaining domestic weapons systems, and presents effective security evaluation measures. By consistently performing mission-based risk assessment in the cybersecurity test and evaluation plan suitable for domestic circumstances at all stages of acquisition, important information is provided to major decision-making organizations in a timely manner to support decision-making, and to respond to identified vulnerabilities in cybersecurity. It is proposed to set the rules of engagement so that the protection measures can be verified, and a simulated invasion is proposed. In addition, the proposed cybersecurity test and evaluation system was compared with the domestic weapon system test and evaluation. Through this, the mission-based risk assessment element was grafted into the cybersecurity test and evaluation system research conducted so far to identify risks in a timely manner between acquisition projects, thereby supplementing the capability to support major decision-making.

• Korean Journal of Construction Engineering and Management
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• v.17 no.5
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• pp.22-34
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• 2016

The Project Delivery System (PDS) is used in mixed way without clear classification from tendering system and the standard itself that can be selected is set with project budget or estimated cost only. Essentially, the PDS should consider and reflect project characteristics and types, internal and external factors for the purpose of improving the lives of citizens and their welfare. However, the current status is not operated flexibly due to the given budget, period and uniform laws and regulations. In order to solve this problem, this study suggests a Decision Support Model to select the optimal PDS for public construction projects. The current problem of the PDS for public construction projects were identified and the application of a decision support model was proposed. Subsequently a decision-making model was suggested for each PDS using the identified factors and linear discriminant function of discriminant analysis. An additional questionnaire survey and actual practical case analysis were carried out to verify the effectiveness and applicability of the model to actual work. It can be used by adjusting the decision support model and detailed factors according to the specific characteristics of public organization, ability of person in charge and project type.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.138-138
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• 2018

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.148-148
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• 2018

• 대한공업교육학회지
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• v.40 no.1
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• pp.40-63
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• 2015

The purpose of this research is to identify internal and external factors that affect specialized technical high school students' career decision status. It then uses career decision types to predict the variables which have the impact on emotional aspects of specialized technical high school student who feel comfortable or uncomfortable after career decision in order to help specialized technical high school students choose their career. The subject of this study consist a total of 809 male and female students attending specialized technical high school located in South Korea. Data were analyzed to investigate the types of career decision status of specialized technical high school students using the SPSS 21.0 program. The results obtained through the study were as follows. Types of career decision status of specialized technical high school students were divided into four groups based on career decision status and types of emotional state. Results showed the decision-comfort(51.3%), decision-discomfort(25.6%), indecision- discomfort(15.3%), indecision-comfort(1.3%) in order. Social support were selected as variables affecting the comfort and discomfort of two groups and the determining factor which distinguished four groups. Result of the analysis showed that social support has statistically significant impact on whether it was decision or not and comfort or not. But career decision-making self-efficacy has no big impact on career decision types. Taking all results of this study together, we can see that specialized technical high school students feel comfortable and they decide the career, but still many students feel uncomfortable on their decision after deciding their career. It suggests the need of development and operation of program about emotional status of career decision which can help specialized technical high school students prepare their career comfortably after they decide on the career, and the need of segmented career counseling approach including social support group.

• The Journal of Information Systems
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• v.29 no.1
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• pp.93-111
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• 2020

Purpose The purpose of this paper is to observe the relative priorities of importances among the modified versions of Block chain system, being based on AHP decision support model which should be also proposed in this paper. Design/methodology/approach Four versions modified from the beginning of Block chain were divided into Public& Permissionless, Private&Permissionless, Public&Permissioned and Private&Permissioned types. Five criteria for evaluating the four versions whether the version were suitable for Medical information system were introduced from five factors of Technologies Accept Model, which were Security, Availability, Variety, Reliability and Economical efficiency. We designed Decision support model based on AHP which would select the best alternative version suitable for introducing the Block chain technology into the medical information systems. We established the objective of the AHP model into finding the best choice among the four modified versions. First low layer of the model contains the five factors which consisted of Security, Availability, Variety, Reliability and Economical efficiency. Second low layer of the model contains the four modified versions which consisted Public&Permissionless, Private&Permissionless, Public&Permissioned and Private& Permissioned types. The structural questionnaire based on the AHP decision support model was designed and used to survey experts of medical areas. The collected data by the question investigation was analyzed by AHP analysis technique. Findings The importance priority of Security was highest among five factors of Technologies Accept Mode in the first layer. The importance priority of Private&Permissioned type was highest among four modified versions of Block chain technologies in second low layer. The second importance priority was Private&Permissionless type. The strong point of Private&Permissioned type is to be able to protect personal information and have faster processing speeds. The advantage of Private& Permissionless type is to be also able to protect personal information as well as from forging and altering transaction data. We recognized that it should be necessary to develop new Block chain technologies that would enable to have faster processing speeds as well as from forging and altering transaction data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.4
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• pp.449-459
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• 2021

More than 80 % of agricultural reservoirs are old facilities over 50 years old, and safety and function declines occur. As a result, safety accidents such as the collapse of the reservoir have occurred. Precise safety diagnosis is conducted in advance to prevent accidents such as reservoir collapse, and Water resources facility improvement project are implemented based on priority. However, the priority of the business is selected based on the subjective judgment of the facility manager. In this study, we set 80 hypotheses based on the results of precision safety diagnosis and decision-making examples of existing Water resources facility improvement project and selected 45 variables using correlation analysis and significance test. Using logistic regression analysis, the final 21 variables were selected and a decision support model was presented, and the classification accuracy of the model was 86.8 %. In this research, the part that presented the quantitative index for decision support when selecting the Water resources facility improvement project has important significance.

• Journal of Computing Science and Engineering
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• v.2 no.2
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• pp.200-219
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• 2008

The effective management of uncertainty is one of the most fundamental problems in medical decision making. According to the literatures review, most medical decision models rely on point estimates for input parameters. However, it is natural that they should be interested in the relationship between changes in those values and subsequent changes in model output. Therefore, the purpose of this study is to identify the ranges of numerical values for which each option will be most efficient with respect to the input parameters. The Nonhomogeneous Poisson Process(NHPP) was used for describing the behavior of aging chronic diseases. Three kind of failure models (linear, exponential, and power law) were considered, and each of these failure models was studied under the assumptions of unknown scale factor and known aging rate, known scale factor and unknown aging rate, and unknown scale factor and unknown aging rate, respectively. In addition, this study illustrated developed method with an analysis of data from a trial of immunotherapy in the treatment of chronic Granulomatous disease. Finally, the proposed design of Bayesian value of information analysis facilitates the effective use of the computing capability of computers and provides a systematic way to integrate the expert's opinions and the sampling information which will furnish decision makers with valuable support for quality medical decision making.