• Computers and Concrete
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• v.19 no.6
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• pp.737-744
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• 2017

Geopolymer Concrete is typically proportioned with activator solution leading to moderately high material cost. Such cost can be enduring in high value added applications especially when cost savings can be recognized in terms of reduction in size of the members. Proper material selection and mix proportioning can diminish the material cost. In the present investigation, a total of 27 mixes were arrived considering the mix parameters as liquid-binder ratio, slag content and sodium hydroxide concentration to study the mechanical properties of geopolymer concrete (GPC) mixes such as compressive strength, split tensile strength and flexural strength. The derived statistical Response Surface Methodology is beleaguered to develop cost effective GPC mixes. The estimated responses are not likely to contrast in linear mode with selected variables; a plan was selected to enable the model of any response in a quadratic manner. The results reveals that a fair correlation between the experimental and the predicted strengths.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.51 no.9
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• pp.389-401
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• 2002

To complement the conventional fusion methodologies of state fusion and measurement fusion, a time-propagated measurement fusion methodology is proposed. Various aspects of common process noise are investigated regarding information preservation. Based on time-propagated measurement fusion methodology, four compression filters are derived. The derived compression filters are efficient in asynchronous sensor fusion and fault detection since they maintain correct statistical information. A new batch Kalman recursion is proposed to show the optimality under the time-propagated measurement fusion methodology. A simple simulation result evaluates estimation efficiency and characteristic.

• Journal for History of Mathematics
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• v.18 no.2
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• pp.95-106
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• 2005

This paper is investigated conception and methodology of data selection, cleaning, integration, transformation, reduction, selection and application of data mining techniques, and model evaluation during procedure of the knowledge discovery in database (KDD) based on Mathematics. Statistical role and methodology in KDD is studied as branch of Mathematics. Also, we investigate the history, mathematical background, important modeling techniques using statistics and information, practical applied field and entire examples of data mining. Also we study the differences between data mining and statistics.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.31-34
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• 2012

The construction industry is hard to apply to the statistical methodology of 6-sigma. For example, it is hard to verification of fraction defective through quantity production. So, in this research the proposed approach for effective process of technology development through establish of innovative methodology reflecting constructional characteristics. Few studies have progressed in construction industry, but there are so many examples using 6-sigma for applying to customer needs at the product development or process improvement in manufacturing business. So this research proposed the design methodology using QFD of 6-sigma and TRIZ.

• Journal of the korean Society of Automotive Engineers
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• v.10 no.2
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• pp.54-60
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• 1988

This paper presents a study of tool-life equation on cut-off test by the statistical approach, referred to as response surface methodology instead of a conventional one-variable at a time method. It is the merit of response surface methodology that the test time is reduced to minimize the size and accurate analysis can be done. The reliability of such an equation can also be estimated. Two independent variables, cutting speed and feed rate, were investigated. A first order modeling equation is presented in this project. The results of this study are as follows that tool-life in cut-off operation is affected by cutting speed more than feed, and first order tool-life predicting equations are in good agreement with experimental results.

• Korean Journal of Child Studies
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• v.37 no.3
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• pp.69-82
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• 2016

Objective: This study aimed to explore early childhood educators' anxiety regarding science education via Q-methodology. Methods: As the first step, 268 Q samples were collected from resources such as books and research papers related to science education for young children. Through five stages of excluding and modifying, a set of 33 Q statements was finalized. The P sample consisted of 40 early childhood educators and was based on educational levels, years of teaching experiences and types of centers. The collected data were analyzed using QUANL statistical program. Results: The results of this study indicate that science anxiety among early childhood educators are classified into four types, explaining 45.13% of the total variance. Conclusion: We conclude that early childhood educators' science anxiety stems from "preparing educational environment and materials," "instructional methods focused on process and scientific inquiry skills," "lack of understanding regarding early childhood science education," and "simple science avoidance."

• Environmental Engineering Research
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• v.17 no.2
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• pp.117-122
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• 2012

A central composite design and response surface methodology were applied to investigate the optimum conditions for maximum adsorption capacity in activated alumina as an adsorbent. The optimized conditions were determined for adsorption capacity using variables of flow rate and temperature. It was found that flow rate and temperature greatly influenced the adsorption capacity, as determined by analysis of variance analysis of these variables. Statistical checks indicated that second order polynomial equations were adequate for representing the experimental values. The optimum conditions for adsorption capacity were $0^{\circ}C$ and 2,718 mL/min, with the estimated maximum adsorption capacity of 17.82%. The experimental adsorption capacity was 17.75% under these optimum conditions, which was in agreement with the predicted value of 17.82%.

• Korean Journal of Construction Engineering and Management
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• v.5 no.5 s.21
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• pp.93-100
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• 2004

For accurate construction contract time estimation, few parameters are more significant than crew production rates and factors affecting the rates. However, statistical analysis techniques for finding such factors are not always simple mainly because there are many factors and the interaction between factors is not well quantitatively understood. This paper presents methodology of identifying factors driving crew production rates. The methodology is further demonstrated with representative data collected by the author from 13 on-going highway constructions. Three factors were identified as statistically significant drivers of Cap crew production rate: 'Cap Size (m3/ea)'; 'Cap Length (m)'; and 'Cap Shape (Rectangle vs. Inverted 'T')'. It was also found that the production rates are best explained by a multiple regression model with two of the drivers; 'Cap Size' and 'Cap Shape'.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.891-894
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• 2005

SU-8은 부드러운 벽면을 가지는 두꺼운 패턴을 제작하는 데 사용되는 음성 감광제(negative photoresist)이다 .이것은 처리 후에 강성이 높고 화학적으로 강인한 장점을 가지고 있으며 최근 MEMS 디바이스의 구조체로 쓰이고 있다. 그러나 SU-8은 공정 처리요소들에 대하여 매우 민감하고 사용하기 어려운 것으로 알려져 있다. 본 연구에서는 공정 처리요소로 exposure energy, post exposure bake (PEB) temperature, PEB time을 조절하여 실험을 하였다. Response Surface Methodology (RSM)를 이용해 각 인자가 delamination에 미치는 영향에 대해 분석하였고 이를 바탕으로 SU-8의 delamination을 최소화하기 위한 처리요소들의 최적화 방안을 제시하였다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.11a
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• pp.510-513
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• 2004

This paper represents the response surface model for the cell gap on the flexible liquid crystal display (LCD) process. Using response surface methodology (RSM). D-optimal design is carried out to build the design space and the cell gap is characterized by the quadratic model. The statistical analysis is used to verify the response surface model. This modeling technique can predict the characteristics of the desired response, cell gap, varying with process conditions.