• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.19-30
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• 2008

Semantic heterogeneity should be overcome to support automated information sharing process between information systems in ontology-based distributed environments. To do so, traditional approaches have been based on explicit mapping between ontologies from human experts of the domain. However, the manual tasks are very expensive, so that it is difficult to obtain ontology mappings between all possible pairs of information systems. Thereby, in this paper, we propose a system to make the existing mapping information sharable and exchangeable. It means that the proposed system can collect the existing mapping information and aggregate them. Consequently, we can estimate the ontology mappings in an indirect manner. In particular, this paper focuses on query propagation on the distributed networks. Once we have the indirect mapping between systems, the queries can be efficiently transformed to automatically exchange knowledge between heterogeneous information systems.

• Nuclear Engineering and Technology
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• v.35 no.1
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• pp.64-79
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• 2003

In the risk and reliability analysis of complex technological systems, the primary concern of formal uncertainty analysis is to understand why uncertainties arise, and to evaluate how they impact the results of the analysis. In recent times, many of the uncertainty analyses have focused on parameters of the risk and reliability analysis models, whose values are uncertain in an aleatory or an epistemic way. As the field of parametric uncertainty analysis matures, however, more attention is being paid to the explicit treatment of uncertainties that are addressed in the predictive model itself as well as the accuracy of the predictive model. The essential steps for evaluating impacts of these model uncertainties in the presence of parameter uncertainties are to determine rigorously various sources of uncertainties to be addressed in an underlying model itself and in turn model parameters, based on our state-of-knowledge and relevant evidence. Answering clearly the question of how to characterize and treat explicitly the forgoing different sources of uncertainty is particularly important for practical aspects such as risk and reliability optimization of systems as well as more transparent risk information and decision-making under various uncertainties. The main purpose of this paper is to provide practical guidance for quantitatively treating various model uncertainties that would often be encountered in the risk and reliability modeling process of complex technological systems.

• English Language & Literature Teaching
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• v.15 no.4
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• pp.237-264
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• 2009

The present study explores patterns of teachers' corrective feedback and learners' uptake in Korean EFL undergraduate classroom setting. It also examines consistencies and discrepancies in the perception of corrective feedback by teachers and learners. Teachers' and learners' preferences and perception of corrective feedback are further analyzed to determine whether or not those differ from actual practices in English language learning classrooms. The results of the study are as follows. First of all, teachers' corrective feedback type varied according to the learners' error type and English proficiency level. There was a lack of consistency between the teachers' feedback practices and the learners' error types. Second, for the phonological errors, learners' data witnessed the most frequent uptake on recast. For the other error types, however, the learners' uptake rates were high for the explicit corrective feedback. Third, the teachers' explicit knowledge of corrective feedback was rather low and the preferences differed from teacher to teacher. The teachers' feedback perception and preferences did not consistently reflect their actual practices. Finally, patterns of the learners' expectations of corrective feedback varied according to learners' proficiency level. Teachers' and learners' expectations of corrective feedback were also compared and some mismatches were detected.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.307-316
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• 2021

This research aims to investigate the relationship between moral deficiency and moral consumption. Consumers' moral values cannot be separated from their consumption activities. In other words, consumers' spending preferences may be an expression of their beliefs about what is right and wrong. A less explored concept within moral consumption behavior theory is 'moral deficiency'. To the best of our knowledge, this is the first research effort to integrate green purchasing and religious purchasing under the banner of moral consumption behavior. There are two studies: Study 1 aimed to measure the moral deficiency of participants through moral scenarios (implicit) and then test its relationship with the green purchase and religious purchase, two proxies of moral consumption. A total of 121 universities were chosen via the nonprobability sampling method. To improve the results of the prior study, Study 2 aimed to measure the moral deficiency of participants through moral deficiency self-report (explicit) and then test its effects on green purchase and religious purchase. A total of 208 participants from the general public were recruited via the nonprobability sampling method. The findings of the two studies suggest that participants with high moral deficiency showed more intention to engage in moral consumption behavior.

• Wind and Structures
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• v.35 no.1
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• pp.67-81
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• 2022

While the aerodynamics of solid bluff bodies is reasonably well-understood and methodologies for their reliable numerical simulation are available, the aerodynamics of porous bluff bodies formed by assembling perforated plates has received less attention. The topic is nevertheless of great technical interest, due to their ubiquitous presence in applications (fences, windbreaks and double skin facades to name a few). This work follows previous investigations by the authors, aimed at verifying the consistency of numerical simulations based on the explicit modelling of the perforated plates geometry and their representation by means of pressure-jumps. In this work we further expand such investigations and, contextually, we provide insight into the flow arrangement and its sensitivity to important modelling and setup configurations. To this purpose, Unsteady Reynolds-Averaged Navier-Stokes (URANS) and Large-Eddy Simulations (LES) are performed for a 5:1 rectangular cylinder at null angle of attack. Then, using URANS, porosity and attack angle are simultaneously varied. To the authors' knowledge this is the first time in which LES are used to model a porous bluff body and compare results obtained using the explicit modelling approach to those obtained relying on pressure-jumps. Despite the flow organization often shows noticeable differences, good agreement is found between the two modelling strategies in terms of drag force.

• Journal of The Korean Association For Science Education
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• v.26 no.5
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• pp.620-636
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• 2006

The purpose of this study was to analyze one science teacher's understanding of student argumentation and his explicit teaching strategies for implementing it in the classroom. One middle school science teacher, Mr. Field, and his students of 54 participated in this study. Data were collected through three semi-structured interviews, 60 hours of classroom observations, and two times of students' lab reports for eight weeks. Coding categories were developed describing the teacher's understanding of scientific argumentation and a description of the main teaching strategy, the Claim-Evidence Approach, was introduced. Toulmin's approach was employed to analyze student discourse as responses to see how much of this discourse was argumentative. The results indicated that Mr. Field defined scientific inquiry as the abilities of procedural skills through experimentation and of reasoning skills through argumentation. The Claim-Evidence Approach provided students with opportunities to develop their own claims based on their readings, design the investigation for evidence, and differentiate pieces of evidence from data to support their claims and refute others. During this approach, the teacher's role of scaffolding was critical to shift students' less extensive argumentation to more extensive argumentation through his prompts and questions. The different level of teacher's involvement, his explicit teaching strategy, and the students' scientific knowledge influenced the students' ability to develop and improve argumentation.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.1
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• pp.24-30
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• 2024

The gas-gun test is a experimental approach employed to validate the operational or structural stability when subjected to the impact energy encountered during launch or target collision. Predicting the outcomes of the gas-gun test has traditionally relied on empirical knowledge, due to numerous factors such as the bird assembly's shape, weight, material, and flight velocity. However, due to the nonlinearity and complex interactions between these variables, numerous tests are necessary to identify the necessary requirements, resulting in significant expense and time consumption during the process. The objective of this study is to forecast the variations in impact energy in future tests by developing a numerical model and analysis that aligns with the test outcomes, utilizing the ABAQUS Explicit. The outcome of the numerical analysis produced a framework that anticipates the peak g and the duration of the actual gas-sun test results, throughout post-processing techniques using FFT and LPF filters.

• Korean Journal of Construction Engineering and Management
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• v.3 no.4 s.12
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• pp.104-113
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• 2002

Knowledge Management(KM), represented as a way to sustain or gain competitive edge in domestic construction companies since late 1990s economic fluctuation, whose priority is to transform individual tacit knowledge into explicit organizational one. Also, accompanied by academic researches, they come to turn their interests on KM leveling and its results. However, they went too far to KM results without commenting what their KM capabilities are and where they should lead. Thus, this research work suggests a leveling model for KM, especially construction company, whose role is to diagnose which parts they should be encouraged or how to strengthen their present capabilities.

• Journal of Fisheries and Marine Sciences Education
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• v.8 no.1
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• pp.28-40
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• 1996

In the last 20 years, educators have made significant advances in their thinking about how students learn and what it is that teachers ought to teach. They attempted to teach thinking s kills and designed instructional programs to facilitate learning. The purpose of this study was to review metacognitive approaches in reading comprehension instruction, and to provide some practical implications to school teachers. First, this study reviewed the concept of metacognition. Metacognition can be divided by metacognitive knowledge and metacognitive experiences. Metacognitive knowledge consists of knowledge or beliefs about what factors interact to affect the outcome of cognitive enterprises. Metacognitive experiences are executive control of one's own cognitive process, which include planning, monitorning and evaluating. Second, this study attempted to investigate the processes of reading comprehension in the metacognitively based view. Third, this study reviewed three kinds of reading comprehension instruction. In the metacognitive approaches, instruction is viewed as constructive process in which teachers and students mediate and negotiate meaning from the instructional environment. In order to enhance reading comprehension, teachers should use examples, explicit instruction, modeling, and elaboration to provide sufficient scaffolding to students. The scaffolding gradually diminishes as students learn to use and apply the reading strategies on their own. Also, students should be encouraged to attribute successful reading to the use of appropriate strategies.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.2
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• pp.89-114
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• 2010

This study empirically investigated the effects of the target costing system as well as information technology(IT) infrastructure on the knowledge management processes(i.e., socialization, externalization, combination and internalization) and the performance of a firm. This study also examined an impact of the social capital(i.e., inter-departmental communication, trust, cooperation and integration) on the adoption and development of the target costing and the IT infrastructure. The results of this study showed that inter-departmental communication, trust and integration have a significant positive impact on the adoption of the target costing. It was also found that the effects of inter-departmental communication and integration on the development of storage and transfer infrastructure are significant and positive. However, in the adoption of search infrastructure, only the impact of inter-departmental integration was significant. The results of regression analyses presented that the target costing has significant influence on the four processes of knowledge management. It was also observed that the effects of storage and transfer infrastructure on combination are significant and positive. In search infrastructure, the impact on combination and internalization was significant. According to the results of this study, it was found that when the adoption level of the target costing is high, search infrastructure mainly affects the three processes(i.e., socialization, combination and internalization). However, under a low adoption level of the target costing, the impact of storage and transfer infrastructure on the whole processes was significant and positive. Thus, it is assumed that storage and transfer infrastructure complements a low level of the target costing adoption through the active transfer and sharing of explicit and tacit knowledge.