• Journal of Information Technology Applications and Management
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• v.23 no.2
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• pp.263-277
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• 2016

Recently, 3D printing technology has been considered as a core applicable technology because it brings many improvements such as the development of medical technology, medical customization, and reducing production cost and shortening treatment period. This research suggests a market prediction framework for medical 3D printing business. As an immature market situation, it is important to control some uncertainty for market prediction such as a customers' conversion rate. So we adopt decision making tree (DMT) model which used to choose an optimal decision making among diverse pathway. Among medical industries this paper just focuses on dentistry business. For predicting a 5 year period trend expected market size, we identified some replaceable denture procedure by 3D printing, collected related data, controlled uncertain variables. The result shows that medical 3D printing business could be a market of 28.2 billion won at 1st year and in the end of fifth year it could become on a scale of 61.1 billion won market.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.21 no.8
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• pp.761-767
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• 2011

Free and forced vibration analysis of the global ship structure using the 3-dimensional finite element(FE) method requires not only the specialized knowledge such as ship structure interacted with fluid, damping and various excitations due to propulsion system but also time-consuming manual tasks in FE modeling, analysis and response evaluation. As a result, the quality of the vibration analysis highly depends on engineer's expertise and experience. In this study, a framework system to improve the efficiency of global ship vibration analysis is introduced. The system promising the utilization of MSC/Patran and MSC/Nastran consists of various modules to support data management, FE modeling of ship structure and loading, input deck generation for free and forced vibration analysis, data extraction and evaluation of analysis results, and databases for FE models of marine diesel engines and vibration criteria. The system may be useful for pursuing standardization of uncertain analysis factors as well as reducing time, cost and human dependency in ship vibration analysis.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.306-310
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• 2008

Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2011.04a
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• pp.779-784
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• 2011

Free and forced vibration analysis of the global ship structure using the 3-dimensional finite element(FE) method requires not only the specialized knowledge such as ship structure interacted with fluid, damping and various excitations due to propulsion system but also time-consuming manual tasks in FE modeling, analysis and response evaluation. As a result, the quality of the vibration analysis highly depends on engineer's expertise and experience. In this study, a framework system to improve the efficiency of global ship vibration analysis is introduced. The system promising the utilization of MSC/Patran and MSC/Nastran consists of various modules to support data management, FE modeling of ship structure and loading, input deck generation for free and forced vibration analysis, data extraction and evaluation of analysis results, and databases for FE models of marine diesel engines and vibration criteria. The system may be useful for pursuing standardization of uncertain analysis factors as well as reducing time, cost and human dependency in ship vibration analysis.

• Journal of Information Science Theory and Practice
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• v.8 no.2
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• pp.45-54
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• 2020

Access to relevant information determines the quality of life of an individual in society and the academe. Academic institutions have established information literacy programmes to enhance students' access to information. With the elevation of colleges of education to tertiary status in Ghana, pre-service teachers are now required to conduct research to improve their reflective thinking in order to be certified. However, the information access skills of students in colleges of education in Ghana are uncertain. This study draws empirical evidence from students in the Nusrat Jahan Ahmadiyya College of Education, Wa, Ghana on their information access skills. Primary data were collected from 303 respondents from the college using a stratified sampling procedure. The data were collected using a questionnaire and analysed using descriptive statistics. The results indicate that information is available to students through different sources such as the Internet, libraries, and contact with friends and authorities. However, students were limited in respect to access to relevant online resources for their academic activities due to inadequate information access skills. Potential solutions are discussed.

• Journal of Hospice and Palliative Care
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• v.23 no.2
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• pp.44-54
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• 2020

Purpose: The purpose of this study was to analyze the experiences of acute care hospital nurses' on spiritual care with focus group interviews. Methods: Data were collected from 24 nurses recruited from one acute-care hospital in a southern province of Korea. Six focus groups were assembled considering age and religion. All interviews were recorded and transcribed. Data were analyzed using qualitative content analysis. Results: Five categories with 14 sub-categories emerged: 1) ambiguous concept: confusing terms, an additional job; 2) assessment of spiritual care needs: looking for spiritual care needs, not recognizing spiritual care needs; 3) spiritual care practices: active spiritual care, passive spiritual care ; 4) outcomes of spiritual care: comfort of the recipient, comfort of the provider; and 5) barriers to spiritual care: fear of criticism from others, lack of education, lack of time, space constraints, and absence of a recording system. Conclusion: Participants perceived spiritual care as an uncertain concept. Some participants recognized it as a form of nursing care, and others did not. They practiced spiritual care in acute-care settings according to their personal perceptions of spiritual care. Therefore, in order to perform spiritual nursing in acute-care hospitals, it is a priority for nurses to recognize the concept of spiritual nursing accurately. It is also necessary to prepare a hospital environment suitable for the provision of spiritual care.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.4
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• pp.306-311
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• 2008

Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.3 s.162
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• pp.410-419
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• 2007

The purposes of this study were to segment consumers by on-line word of month and to find the differences among the segmented groups in regard to fashion involvement, internet perceived risk, and internet purchase behavior. The subjects of this study were female consumers who were members of online cafe in Korea. The data were collected during October, 2004. The respondents returned the questionnaires through internet and 480 questionnaires were finally used in the data analysis. The statistical analyses used for the study were factor analysis, cluster analysis, t-test, and $X^2-test$. The results showed that word-of·mouth communication on internet(e-WOM) is composed of two factors, word-of-mouth transmission and word-of-mouth acceptance. These two factors were put under cluster analysis and were classified into two groups of the word-of·mouth communication: WOM group and non-WOM group. T-test showed that word-of-mouth communication groups were significantly different in regard to fashion involvement, internet perceived risk, and internet purchase behavior. For example, WOM group was more uncertain of their clothing choices, put more weight on the internal factors of clothing selection, and was a frequent purchaser of internet fashion products. Internet fashion business needs to implement the proper marketing strategies based on the results of the study.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1035-1044
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• 2021

Corporate longevity is an interesting issue from a theoretical point of view. In today's uncertain economic climate, the first priority for a company is survival. The longevity of an organization is basically one of the areas that can classify the sustainability of a company. Known as the cultural heritage of Indonesia, the traditional herbal medicine industry faces challenges of longevity. The word Jamu is a generic expression for traditional herbal medicine in Indonesia. The Jamu industry as Indonesia's cultural heritage must be preserved with good support from a technical, regulatory, and commercial perspective so that Jamu companies do not go into the decline stage. Operational resilience is usually defined as the ability of an organization to adapt rapidly to changing environments. This study aims to identify the effect of operational resilience and human capital on corporate sustainable longevity through innovation performance. The questions are addressed through empirical research of 108 small companies that produce Jamu, traditional herbal medicine in Java, Indonesia. This study was conducted during July-September 2020. Data analysis is carried out with SEM-PLS using SmartPLS software version 3.0 to evaluate the data collected. The results indicated that operational resilience influences corporate sustainable longevity directly and indirectly through innovation performance. However, human capital could not play the antecedent role to corporate sustainable longevity directly or even indirectly through innovation performance. Human capital indicators require deeper exposure in the context of small industries.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.133-143
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• 2023

The detrimental impacts of financial instability on the world economy during the financial crisis highlighted the requirement to understand the existing financial circumstances. Stability and developments in financial conditions are important for economic prosperity. This study analyses the impact of geopolitical risk on the economic conditions of some specific emerging economies using monthly data from January 1999 to September 2016 by applying a fixed-effects panel data model. The estimation results demonstrated that geopolitical risk has a significant, negative impact on financial conditions. It shows geopolitical risk could be seen as a key factor that contributes towards financial conditions. Further, it implies that negative shocks of high geopolitical risk experienced by emerging economies are one of the primary reasons for the financial conditions' deterioration. The findings provide important insights for governments, policymakers, and investors. For instance, governments and politicians should refrain from expressing or producing tension, economic discomfort, or news that is likely to increase a high geopolitical risk. Maintaining a close eye on geopolitical risk and its sources may also help to stabilize financial conditions and develop a well-functioning financial system. As a result, investors would be better informed about an economy's economic and financial conditions, allowing them to diversify their international portfolios and devise investing strategies during uncertain economic times.