• Title/Summary/Keyword: Framework structure

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A Suggestion of User Behavior analysis Framework (사용자 행동 분석 프레임워크 제안)

  • Kim, Hye Lin;Lee, Min Ju;Park, Seung Ho
    • Design Convergence Study
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    • v.16 no.5
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    • pp.203-217
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    • 2017
  • This study proposes and demonstrates the value of user - centered design methodology based on linguistic analysis. The results of the proposed user behavioural analysis framework suggested that the syntactic structure between the sentence structure and its components could be a logical basis for explaining the user's situation and behavior. Based on this, the definitions and classifications of user interactions and user contexts were conducted in a microscopically context. User behavior has also been established to identify pattern structures of purposeful nature and constitutes a user behavior sequence that prioritizes them. Next, the User Experience Analysis Framework was derived by defining the relationship between User Behavior and User Behavior and User Context and User Context. To verify the framework of the framework, a professional assessment was conducted to conduct a review of the user's experience and conduct a study of the framework of the framework and conduct of the framework of the framework of the framework and practical utility of the framework. Through this, it was possible to identify the value of the qualitative and quantitative framework of the framework and the future direction of development.

Molecular Dynamics Simulation Studies of Zeolite A. VIII. Structure and Dynamics of Na+ ions in a Non-Rigid Dehydrated Zeolite-A Framework

  • 이송희;최상구
    • Bulletin of the Korean Chemical Society
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    • v.20 no.5
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    • pp.587-591
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    • 1999
  • A molecular dynamics simulation study on the structure and dynamics of Na+ ions in non-rigid dehydrated Na12-A zeolite framework at 298.15 K was conducted using the same method reported in previous studies on rigid and non-rigid Na12-A zeolite frameworks. The agreement between the experimental and calculated results for the zeolite-A framework atoms of structural parameters for non-rigid dehydrated Na12-A zeolite is generally quite good, and for the adsorbed Na+ions the agreement is acceptable. The calculated bond lengths are generally in good agreement with the experimental results and other theoretical data. The calculated IR spectrum by Fourier transform of the total dipole moment autocorrelation function shows two major peaks around 2700 cm-1 and 7000 cm-1. The former appeared in the calculated IR spectra of non-rigid zeolite-A framework only system and the latter remains unexplained except, perhaps, indicating a new formation of a vibrational mode of the framework due to the adsorption of Na+ ions. The peaks above 6200-6800 cm-1 in non-rigid dehydrated Nal2-A zeolite are much larger than those in non-rigid dehydrated H12-A zeolite.

Big data-based piping material analysis framework in offshore structure for contract design

  • Oh, Min-Jae;Roh, Myung-Il;Park, Sung-Woo;Chun, Do-Hyun;Myung, Sehyun
    • Ocean Systems Engineering
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    • v.9 no.1
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    • pp.79-95
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    • 2019
  • The material analysis of an offshore structure is generally conducted in the contract design phase for the price quotation of a new offshore project. This analysis is conducted manually by an engineer, which is time-consuming and can lead to inaccurate results, because the data size from previous projects is too large, and there are so many materials to consider. In this study, the piping materials in an offshore structure are analyzed for contract design using a big data framework. The big data technologies used include HDFS (Hadoop Distributed File System) for data saving, Hive and HBase for the database to handle the saved data, Spark and Kylin for data processing, and Zeppelin for user interface and visualization. The analyzed results show that the proposed big data framework can reduce the efforts put toward contract design in the estimation of the piping material cost.

A study on multi-objective optimal design of derrick structure: Case study

  • Lee, Jae-chul;Jeong, Ji-ho;Wilson, Philip;Lee, Soon-sup;Lee, Tak-kee;Lee, Jong-Hyun;Shin, Sung-chul
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.10 no.6
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    • pp.661-669
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    • 2018
  • Engineering system problems consist of multi-objective optimisation and the performance analysis is generally time consuming. To optimise the system concerning its performance, many researchers perform the optimisation using an approximation model. The Response Surface Method (RSM) is usually used to predict the system performance in many research fields, but it shows prediction errors for highly nonlinear problems. To create an appropriate metamodel for marine systems, Lee (2015) compares the prediction accuracy of the approximation model, and multi-objective optimal design framework is proposed based on a confirmed approximation model. The proposed framework is composed of three parts: definition of geometry, generation of approximation model, and optimisation. The major objective of this paper is to confirm the applicability/usability of the proposed optimal design framework and evaluate the prediction accuracy based on sensitivity analysis. We have evaluated the proposed framework applicability in derrick structure optimisation considering its structural performance.

A Structure and Framework for Sign Language Interaction

  • Kim, Soyoung;Pan, Younghwan
    • Journal of the Ergonomics Society of Korea
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    • v.34 no.5
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    • pp.411-426
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    • 2015
  • Objective: The goal of this thesis is to design the interaction structure and framework of system to recognize sign language. Background: The sign language of meaningful individual gestures is combined to construct a sentence, so it is difficult to interpret and recognize the meaning of hand gesture for system, because of the sequence of continuous gestures. This being so, in order to interpret the meaning of individual gesture correctly, the interaction structure and framework are needed so that they can segment the indication of individual gesture. Method: We analyze 700 sign language words to structuralize the sign language gesture interaction. First of all, we analyze the transformational patterns of the hand gesture. Second, we analyze the movement of the transformational patterns of the hand gesture. Third, we analyze the type of other gestures except hands. Based on this, we design a framework for sign language interaction. Results: We elicited 8 patterns of hand gesture on the basis of the fact on whether the gesture has a change from starting point to ending point. And then, we analyzed the hand movement based on 3 elements: patterns of movement, direction, and whether hand movement is repeating or not. Moreover, we defined 11 movements of other gestures except hands and classified 8 types of interaction. The framework for sign language interaction, which was designed based on this mentioned above, applies to more than 700 individual gestures of the sign language, and can be classified as an individual gesture in spite of situation which has continuous gestures. Conclusion: This study has structuralized in 3 aspects defined to analyze the transformational patterns of the starting point and the ending point of hand shape, hand movement, and other gestures except hands for sign language interaction. Based on this, we designed the framework that can recognize the individual gestures and interpret the meaning more accurately, when meaningful individual gesture is input sequence of continuous gestures. Application: When we develop the system of sign language recognition, we can apply interaction framework to it. Structuralized gesture can be used for using database of sign language, inventing an automatic recognition system, and studying on the action gestures in other areas.

A hierarchical Bayesian model for spatial scaling method: Application to streamflow in the Great Lakes basin

  • Ahn, Kuk-Hyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.176-176
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    • 2018
  • This study presents a regional, probabilistic framework for estimating streamflow via spatial scaling in the Great Lakes basin, which is the largest lake system in the world. The framework follows a two-fold strategy including (1) a quadratic-programming based optimization model a priori to explore the model structure, and (2) a time-varying hierarchical Bayesian model based on insights found in the optimization model. The proposed model is developed to explore three innovations in hierarchical modeling for reconstructing historical streamflow at ungaged sites: (1) information of physical characteristics is utilized in spatial scaling, (2) a time-varying approach is introduced based on climate information, and (3) heteroscedasticity in residual errors is considered to improve streamflow predictive distributions. The proposed model is developed and calibrated in a hierarchical Bayesian framework to pool regional information across sites and enhance regionalization skill. The model is validated in a cross-validation framework along with four simpler nested formulations and the optimization model to confirm specific hypotheses embedded in the full model structure. The nested models assume a similar hierarchical Bayesian structure to our proposed model with their own set of simplifications and omissions. Results suggest that each of three innovations improve historical out-of-sample streamflow reconstructions although these improvements vary corrsponding to each innovation. Finally, we conclude with a discussion of possible model improvements considered by additional model structure and covariates.

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Developing A Framework for Performance Assessment in Science Education

  • Kim, Eun-Jin;Park, Hyun-Ju;Kang, Ho-Kam;Noh, Suk-Goo
    • Journal of The Korean Association For Science Education
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    • v.23 no.4
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    • pp.319-330
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    • 2003
  • The purpose of this study is to develop a Framework for Performance Assessment in Science Education(FPASE). Science educators in the past have paid more attention to science curriculum and teaching strategies than assessment. In recent years, attention has turned toward performance assessment which addresses the concerns of science curriculum and instruction, and which is consistent with goals of science education at various levels of interests. Science educators are trying to do performance assessment, yet they don't have a framework that is highly qualified in terms of science educational objectives for the future, and advantages of performance assessment. We, therefore, have developed a framework for performance assessment in science education, which may be useful for science teachers to understand and assess their students' abilities. We have extracted seven domains covering students' various abilities as the important objectives of science performance assessment and grouped them into three categories: General, Science specific, and Intermediate abilities. And we developed a F-PASE with a three dimensional solid figured structure, and illustrated it as the configuration of a com. F-PASE is useful for science teachers to develop and select a science performance assessment as well as have a more advanced understanding of their students' abilities. It is a creative and novel assessment framework in terms of structure, configuration, functions and meanings. It also suggests a new vision of an assessment framework in science education.