• Industrial Engineering and Management Systems
• /
• v.14 no.4
• /
• pp.392-400
• /
• 2015

Monitoring of plasma etch processes for fault detection is one of the hallmark procedures in semiconductor manufacturing. Optical emission spectroscopy (OES) has been considered as a gold standard for modeling plasma etching processes for on-line diagnosis and monitoring. However, statistical quantitative methods for processing the OES data are still lacking. There is an urgent need for a statistical quantitative method to deal with high-dimensional OES data for improving the quality of etched wafers. Therefore, we propose a robust relevance vector machine (RRVM) for regression with statistical quantitative features for modeling etch rate and uniformity in plasma etch processes by using OES data. For effectively dealing with the OES data complexity, we identify seven statistical features for extraction from raw OES data by reducing the data dimensionality. The experimental results demonstrate that the proposed approach is more suitable for high-accuracy monitoring of plasma etch responses obtained from OES.

• Management Science and Financial Engineering
• /
• v.10 no.1
• /
• pp.25-41
• /
• 2004

There have been many studies to build a model that can help investors construct optimal portfolio. Most of the previous models, however, are based upon the path-breaking Markowitz model (1959) which is a quantitative model. One of the most important problems with that kind of quantitative model is that, in reality, most of the investors use not only quantitative, but also qualitative information when they select their optimal portfolio. Since collecting both types of information from the markets are time consuming and expensive, making a set of target assets smaller, without suffering heavy loss in the rate of return, would attract investors. To extract only desired assets among all available assets, we need knowledge that identifies investors' preference for the risk of the assets. This study suggests two-layer decision-making rules capable of identifying an investor's risk preference and an architecture applying them to a quantitative portfolio model based on risk and expected return. Our knowledge-based portfolio system is to build an investor's preference-oriented portfolio. The empirical tests using the data from Korean capital markets show the results that our model contributes significantly to the construction of a better portfolio in the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models.

• Korean Journal of Construction Engineering and Management
• /
• v.8 no.4
• /
• pp.99-109
• /
• 2007

Risk elements of highway safety facilities are affected by complex environments. Thus, risk-based approach for traffic safety facilities is needed. For this, in this study, qualitative and quantitative risk assessment methodology and procedure for highway safety facilities is proposed, which can be used as risk-based approach incorporating VE process. Also, for the quantitative risk assessment, event tree using EPDO(Equivalent Property Damage Only) with respect to frequency and magnitude of risk events is introduced. As a result, risk index of alternative 1(140cm) and 2(127(cm) which can be used as performance factor in VE approach are estimated.

• Journal of the Korean Society for information Management
• /
• v.28 no.1
• /
• pp.309-326
• /
• 2011

Most metadata quality measurement employ simple techniques by counting error records. This study presents a new quantitative measurement of metadata quality using advanced weighting schemes in order to overcome the limitations of exiting measurement techniques. Entropy, user tasks, and usage statistics were used to calculate the weights. Integrated weights were presented by combining these weights and were applied to actual journal article metadata. Entropy weights were found to reflect the characteristics of the data itself. User tasks presented the required metadata elements to solve user's information need. Integrated weights showed balanced measures without being affected by the influence of error elements, This finding indicates the new method being suitable for quantitative measurement of metadata quality.

• Journal of the Korean Society for information Management
• /
• v.27 no.4
• /
• pp.309-328
• /
• 2010

This study has analyzed the trend of the quantitative research by analyzing domestic dissertations on information literacy that were published since 2000. The procedures, regulations, and descriptive elements of the quantitative study were compared and analyzed for this study. In addition, the study used 5 variables and criterions to measure these items. Based on the calculations, the study has examined the general characteristics of the thesis, research method, sampling method and sampling population of the dissertations. The study has also analyzed the trend of the measurement variables by categorizing the characteristics by published year and majors. Furthermore, the study has also presented the trend of the usage of statistic analysis method on research purpose by classifying the method into each purpose.

• Proceedings of the Safety Management and Science Conference
• /
• 2007.04a
• /
• pp.173-186
• /
• 2007

• Journal of Information Technology Services
• /
• v.16 no.4
• /
• pp.65-75
• /
• 2017

The purpose of this study is to investigate how software policy shows the moderating effects between organizational capability maturity and organizational performance. The software policy includes the proportions of development personnel and development budget that can affect organizational performance. It is important to empirically identify whether the ratios of budget and personnel, which are some of the main policy indexes of the organization can promote the causal relationship between organizational maturity and organizational performance. These personnel and budget may be assumed to affect the causal relationship between organizational capability maturity and organizational performance. The results of this study shows that the moderating effects of software policy are partially proved. The two policy indexes, personnel ratio and budget ratio, showed a moderating effect between process implementation and organizational performance, but did not show any moderating effect between quantitative management and organizational performance. This is because the companies participating in the survey are still in the early stages of quantitative process management and quantitative management does not show the differentiated results among the participating organizations. The significance of this study is as follows. In the academic aspect, the causal relationship between organizational maturity and organizational performance was examined empirically, and it was analyzed whether the two adopted policy indicators have a moderating effect between organizational maturity and organizational performance. On the practical side, the analysis suggested that the ratios of budget and personnel emphasized by the government or organization played a role of facilitating the organizational maturity and organizational performance.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.7
• /
• pp.509-516
• /
• 2021

This study aims to find out and measure the level of factors affecting the applicability of environmental management accounting (EMA) in Vietnamese automobile industry enterprises. Data was collected using both quantitative and qualitative methods. First, in general research, qualitative methodology was used to find out factors (variables) that can impact the possibility of implementing EMA in Vietnamese automobile enterprises. Second, in detailed research, all variables are measured using a quantitative method by collecting data through sampling and sending questionnaires. 500 questionnaires were sent to automobile enterprise managers and only 352 questionnaires met the criteria for the data analysis. The study used a mixed research design approach- a procedure for collecting, analyzing, and "mixing" both quantitative and qualitative research and methods in a single study to understand the research problem. Results show that 7 factors affect the possibility of implementing EMA in Vietnamese automobile industry enterprises. These factors are coercive pressure, normative pressure, mimetic pressure, business environmental uncertainty, environmental strategy, benefits when applying EMA, and task complexity. Based on the results of the study, promoting EMA in the automotive industry should depend mainly on the role of governmental departments.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.10 no.3
• /
• pp.1-15
• /
• 2022

Purpose - This study explored factors of online education that affect student dissatisfaction and learning effectiveness in higher education during the COVID-19 pandemic. Research design, data, and methodology - This study combined qualitative and quantitative designs. The qualitative part of this study involved in-depth interviews using a criteria-based purposive sampling technique. The quantitative part of this study consisted of an online survey. Results - The qualitative results revealed that students faced significant problems related to online learning, including a lack of learning environment, interaction, and support from the school. The quantitative results indicated that the effects of transitioned-online courses on student dissatisfaction were higher with student support, the interaction between students and instructors, online learning environment, and course organization and evaluation based on the order, while the effects on learning effectiveness were higher with the online learning environment, interaction between students and instructors, course organization and evaluation, and student support based on the order. Conclusion - The results implied that online learning in the era of the COVID 19 pandemic negatively affects student satisfaction and learning effectiveness. Policymakers and school leaders should improve students' satisfaction and learning effectiveness when confronted with the pandemic. Better policies should be adopted to improve better way of teaching in the era of COVID19.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.308-314
• /
• 2013

Although global construction spending has experienced slow growth due to consecutive economic crises, global contractors have consistently attempted to expand their overseas market share, leading to more intense competition among contractors in the international construction market. In this market environment, owners, clients and financial institutions require reasonable and systematic criteria to effectively assess the business capabilities of international construction firms. However, the existing evaluation methods for construction firms rarely consider overseas-focused business capabilities. To address this problem, this study proposes a quantitative approach to assessing the overseas business capabilities of international construction firms. The limitations of existing approaches are reviewed, and the capabilities required to perform overseas businesses are analyzed through expert interviews. Finally, 18 evaluation indices are suggested in four categories: technology resources, project management, experience and performance, and sustainability. The relative weight of each index is determined according to the Analytical Hierarchy Process (AHP) method, and a preliminary investigation of 11 Korean construction firms is conducted. The proposed method is expected that it will provide the rational criteria for international owners, clients, and financial institutions for decision-making and for evaluating international contractors.