• 대한산업공학회지
• /
• 제32권1호
• /
• pp.18-28
• /
• 2006

Some issues which should be considered in an R&D project selection problem are as follows: First, quantitative analysis on the efficiencies of R&D projects is required to guarantee objective validity in the evaluation of the projects. For this reason, the methodology for selecting R&D projects should be based on mathematical models that perform quantitative analysis. Second, in general there are ordinal factors like Likert-scale in the data for evaluating R&D projects. Previous researches, however, couldn't suggest explicit methods incorporating these ordinal factors into models. Third, for the R&D project selection problems with limited resources like budget, it is necessary to decide the perfect ranking of the all projects. This paper develops a mathematical model that can be applicable to the problems of selecting R&D projects with the previous features. In this paper, we improve the original DEA model for evaluating efficiency to incorporate ordinal factors and suggest a new model which can decide the perfect ranking of all projects by merging the improved DEA model and AHP method. Furthermore a web-based R&D project selection system using the DEA/AHP model suggested in this paper is developed and illustrated.

• Asian Journal of Atmospheric Environment
• /
• 제4권3호
• /
• pp.115-140
• /
• 2010

Great concerns about atmospheric aerosols are attributed to their multiple roles to atmospheric processes. For example, atmospheric aerosols influence global climate, directly by scattering or absorbing solar radiations and indirectly by serving as cloud condensation nuclei. They also have a significant impact on human health and visibility. Many of these effects depend on the size and composition of atmospheric aerosols, and thus detailed information on the physicochemical properties and the distribution of airborne particles is critical to accurately predict their impact on the Earth's climate as well as human health. A single particle analysis technique, named low-Z particle electron probe X-ray microanalysis (low-Z particle EPMA) that can determine the concentration of low-Z elements such as carbon, nitrogen and oxygen in a microscopic volume has been developed. The capability of quantitative analysis of low-Z elements in individual particle allows the characterization of especially important atmospheric particles such as sulfates, nitrates, ammonium, and carbonaceous particles. Furthermore, the diversity and the complicated heterogeneity of atmospheric particles in chemical compositions can be investigated in detail. In this review, the development and methodology of low-Z particle EPMA for the analysis of atmospheric aerosols are introduced. Also, its typical applications for the characterization of various atmospheric particles, i.e., on the chemical compositions, morphologies, the size segregated distributions, and the origins of Asian dust, urban aerosols, indoor aerosols in underground subway station, and Arctic aerosols, are illustrated.

• 한국안전학회지
• /
• 제31권4호
• /
• pp.48-54
• /
• 2016

The prediction of various emissions from coal combustion is an important subject of researchers and engineers because of environmental consideration. Therefore, the development of the models for predicting pollutants very fast has received much attention from international research community, especially in the field of safety assessment. In this work, response surface method was introduced as a design of experiment, and the database for RSM was set with the numerical simulation of a drop tube furnace (DTF) to predict the spatial distribution of pollutant concentrations as well as final ones. The distribution of carbon dioxide in DTF was assumed to have Boltzman function, and the resulted function with parameters of a high $R^2$ value facilitates predicting an accurate distribution of $CO_2$. However, CO distribution had a difference near peak concentration when Gaussian function was introduced to simulate the CO distribution. It might be mainly due to the anti-symmetry of the CO concentration in DTF, and hence Extreme function was used to permit the asymmetry. The application of Extreme function enhanced the regression accuracy of parameters and the prediction was in a fairly good agreement with the new experiments. These results promise the wide use of statistical models for the quantitative safety assessment.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2005년도 ICCAS
• /
• pp.5-10
• /
• 2005

We deal with the sliding mode control using the time delay estimation. The time delay estimation is able to weaken the need for obtaining a quantitative plant model analogous to the real plant so the sliding mode control with a time delay estimation (SMCTE) is very suitable for plant such as SMA actuators whose quantitative model is difficult to obtain. We have already studied the application of the time delay control (TDC) to SMA actuators in other literature. Based on the previous study on the TDC, we developed the gain tuning method for the SMCTE, which results were nearly the same as the TDC. With respect to the step response, the SMCTE proved its predominance in a comparison with other control schemes such as the PID control and the relay control. As well as the contribution of the above control methodology, the model identification for SMA actuators has also been studied. The dynamics for an SMA actuator was newly derived using the modified Liang's model. The derived dynamics showed a continuity at the change of the phase transformation process but the original Liang's model could not.

• 융합보안논문지
• /
• 제16권7호
• /
• pp.69-75
• /
• 2016

기술유출 방지를 위해 정부에서는 2007년도에 산업기술방지법을 제정하고 융합보안장비 구축을 권장하고 있다. 이에 기업에서 융합보안장비를 구축하는 원인을 파악하고자 하였다. 이를 위해 기존의 조사방식인 양적연구(quantitative research)와 달리 심층면담을 통해 원인을 찾아가는 질적연구(qualitative research) 중 바니 글래이저(Barney G. Glaser)와 안젤름 스트라우스(Anselm L. Strauss)가 사회과학의 질적방법론의 한 종류로 사용한 근거이론(grounded theory)을 사용하였다. 이에 정부로부터 융합보안장비 구축비를 지원받은 기업을 대상으로 조사한 결과 정부지원금이 높을수록, 대표자나 고객사의 요청이 있을 경우, 기술유출방지를 통해 업무효율성이 높을수록, 매출증대가 높을수록 융합보안장비를 구축하는 것으로 조사되었다.

• 한국해양공학회:학술대회논문집
• /
• 한국해양공학회 2006년 창립20주년기념 정기학술대회 및 국제워크샵
• /
• pp.277-280
• /
• 2006

Most real world design evaluation and risk-based decision support combine quantitative and qualitative (linguistic) variables. Decision-making based on conventional mathematics that combines qualitative and quantitative concepts always exhibit difficulty in modelling actual problems. The successful selection process for choosing a design/procurement proposal is based on a high degree of technical integrity, safety levels and low costs in construction, corrective measures, maintenance, operation, inspection and preventive measures. However, the objectives of maximising the degree of technical performance, maximising the safety levels and minimising the costs incurred are usually in conflict, and the evaluation of the technical performance, safety and costs is always associated with uncertainties, especially for a novel system at the initial concept design stage. In this paper, a design-decision support framework using a composite structure methodology grounded in approximate reasoning approach and evidential reasoning method is suggested for design evaluation of machinery space of a ship engine room at the initial stages. It is a Multiple Attribute Decision-Making (MADM) or Multiple Criteria Decision Making (MCDM) framework, which provides a juxtaposition of cost, safety and technical performance of a system during evaluation to assist decision makers in selecting the winning design/procurement proposal that best satisfies the requirement in hand. An illustrative example is used to demonstrate the application of the proposed framework.

• 유통과학연구
• /
• 제14권12호
• /
• pp.23-30
• /
• 2016

Purpose - As socially responsible consumption increases, green marketing emerges as a new philosophy in marketing. A number of companies are now putting forth green marketing strategies. But there is no single definition of "green brand" that can be used interchangeably. In this paper, we attempt to explore the meaning for "green brand," especially in Information and Technology products. Research design, data, and methodology - The author developed qualitative and quantitative research design. In particular, the paper approaches this topic from the Asian consumers' perspective and applies ethical concepts to green brand research. For this, Chinese and Korean consumers were used as consumer segmentation variables to investigate their ethical perspectives. Results - Qualitative research showed that there are several attributes and benefits we need to consider for green brand. Quantitative study showed positive correlations of the two variables: the higher the consumer ethics are, the more they prefer green brands. Conclusions - The current study shows that consumers clearly have a certain propensity toward green brand equity. Thus, marketers should consider the consumers' evaluation about green brands. This paper also proposes that ethics have a close relationship with green brand equity, and companies may use ethics in marketing strategy management.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권9호
• /
• pp.621-629
• /
• 2020

This research focuses on determining the impact of human resource management activities on the compatibility and work results of employees of Ho Chi Minh Stock Exchange (HOSE) listed companies. The paper includes five parts: introduction, literature review, research methodology, research results, and conclusion and policy implications. The data are collected from the survey of 350 listed companies in HOSE, in which 315 survey notes filled with sufficient information are used for analysis. The paper employs both qualitative method and quantitative method. Group discussion of 10 experts is for qualitative research. Quantitative method performs analysis of Statistics, Cronbach's Alpha, EFA analysis, CFA analysis and SEM model. The results of the research clearly indicate that human resource management (HRM) activities are measured through improving the ability, improving the motivation and improving the opportunity. While compatibility is measured through suitability, connection and sacrifice; whereby HRM activities of ability improvement have a positive effect on the job suitability and connection; HRM activities of motivation improvement have a positive effect on the job suitability, connection and sacrifice; and HRM activities of opportunity improvement have a positive effect on the job suitability, sacrifice and connection; Finally, the job suitability, sacrifice and connection positively affect the work results of employees.

• 대한간호학회지
• /
• 제34권2호
• /
• pp.243-251
• /
• 2004

Purpose: The purpose of this study was a comprehensive understanding about maternal transition in mothers with high risk newborns according to the degree of situational meaning. Method: A methodological triangulation that combines qualitative and quantitative methods was used. The situational meaning of a high risk newborn mother was identified using a Family Meaning Attribution Scale. According to the degree of situational meaning, in-depth interviews were conducted at 3 time periods postpartum: between 3-10 days after childbirth, around the time of the newborn's discharge, and between 10-12 weeks after childbirth. Quantitative data was analyzed using descriptive statistics and t-test. Qualitative data was analyzed using Tutty, Rothery, & Grinnell's methodology. Result: The average score of the situational meaning in high the risk newborn mother was 53.57(possible score is between 0-96) and the average score of each item was 1.67. A Maternal transition process in the mother that has a positive situational meaning was conceptualized in three distinctive phases: confusion, accepting, and shaping phases. The Maternal transition process in the mother that has a negative situational meaning was also conceptualized in three distinctive phases: avoiding, conflicting, and accepting phases. Conclusion: It is necessary that the nurses provide high risk newborn mothers with individualized care considering both the situational meaning that is attributed to them and the maternal transition phase that they are faced with.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권7호
• /
• pp.555-563
• /
• 2020

The study seeks to investigate the relationship between knowledge sharing and innovation in garment and textile enterprises. While previous research has found many factors influencing knowledge sharing, little research has been done about the influence of knowledge sharing on innovation in enterprises in developing countries like Vietnam. In particular, the textile industry plays an important role in export, but outsourcing is accounting for a high proportion of trade; it is necessary to increase innovation in order to increase the competitive advantage by internal capacity. The data is collected from a survey of 245 employees at 20 textile and garment enterprises in Vietnam to study the knowledge sharing influence on innovation. The methodology includes pilot study and quantitative method. The pilot study tests the questionnaire on the respondents. The quantitative method applies SEM analysis to measure the knowledge sharing influence on innovation. The results identify eight factors that positively impact knowledge sharing: rewarding, teamwork, management support, joy of knowledge sharing, communication, trust, commitment, and information technology. This study also shows that knowledge sharing affects innovation. The main findings are discussed for textile and garment enterprises to apply innovative capacity in the context of increasing global integration.