• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.35-40
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• 2015

The paper proposes a meta-learning approach for building multi-classifier systems in a GA-based inductive learning environment. In our meta-learning approach, a classifier consists of a general classifier and a meta-classifier. We obtain a meta-classifier from classification results of its general classifier by applying a learning algorithm to them. The role of the meta-classifier is to evaluate the classification result of its general classifier and decide whether to participate into a final decision-making process or not. The classification system draws a decision by combining classification results that are evaluated as correct ones by meta-classifiers. We present empirical results that evaluate the effect of our meta-learning approach on the performance of multi-classifier systems.

• Korean Journal of Child Studies
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• v.25 no.6
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• pp.131-152
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• 2004

This study used meta-analysis to synthesize the effectiveness of the project approach. After reviewing 51 studies, we analyzed the effect size of 119 articles published between 1990 and 2002 using SAS 8.2 program. The grand average of the project approach effectiveness was 1.03. This implies that the experimental group that employing the project approach is more effective than control group by the 35 percentile. We also found that the project approach is more effective for preschool children group (1.21, 89%) than for the elementary school children group (0.88, 81%). Specific variables regarding the effectiveness of the project approach were analyzed and its consequences were discussed.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.49-62
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• 2024

In this paper, a sustainable closed-loop supply chain (SCLSC) network model is proposed for domestic mobile phone industry. Economic, environmental and social factors are respectively considered for reinforcing the sustainability of the SCLSC network model. These three factors aim at minimizing total cost, minimizing total amount of CO₂ emission, and maximizing total social influence resulting from the establishment and operation of facilities at each stage of the SCLSC network model. Since they are used as each objective function in modeling, the SCLSC network model can be a multi-objective optimization problem. A mathematical formulation is used for representing the SCLSC network model and a hybrid meta-heuristic approach is proposed for efficiently solving it. In numerical experiment, the performance of the proposed hybrid meta-heuristic approach is compared with those of conventional meta-heuristic approaches using some scales of the SCLSC network model. Experimental results shows that the proposed hybrid meta-heuristic approach outperforms conventional meta-heuristic approaches.

• The Korean Journal of Applied Statistics
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• v.33 no.4
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• pp.439-449
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• 2020

Meta-analysis provides a way of integrating several independent studies of interest. Since small studies with statistically significant results are more likely to be published, publication bias, which is a special case of selection bias, often occurs in meta analysis. Conditional likelihood and weighted estimating equation have been proposed to deal with publication bias, but they require to specify a correct selection probability model. In contrast, the pairwise pseudolikelihood approach can correct publication bias without fully specifying the correct selection probability model, but its performance in meta-analysis was not investigated. In this paper, we perform a numerical study about whether the pairwise pseudolikelihood approach is effective for solving publication bias arising from typical meta-analysis settings.

• Research in Mathematical Education
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• v.24 no.3
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• pp.175-199
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• 2021

The Science Writing Heuristic (SWH) approach is described as an immersive argument-based science inquiry focusing particularly on learning through epistemic practices. In the literature, several previous studies indicate how academic achievement is positively influenced by the SWH. In addition to these previous studies, several meta-syntheses of qualitative data have been conducted on this particular topic. With these literatures in mind, a quantitative meta-analysis was conducted with ten studies (N = 724) to examine the effectiveness of the SWH on student achievement in Turkey. To present a thoroughly detailed report, this study also examined the following moderators: grade level, subject area, school location, intervention length, and report source. Overall, this study found that in Turkey, the SWH classrooms performed better in academic achievement tests than traditional lecture-based classrooms. Additionally, the SWH is more likely to be effective regardless of grade levels, subject areas, and school locations.

• Korean Journal of Health Education and Promotion
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• v.3 no.1
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• pp.129-142
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• 2001

Meta-analysis methods are becoming a central part of research integration in behavioral and medical science studies. The main goal of the meta-analysis is combining the quantitative findings from several studies which address the same research problem and is sharing conclusions in a published report. The purpose of this research is to develop meta-analysis approach to evaluate effectiveness of instructional program design to improve school-age children's knowledge and understanding of Acquired Immune Deficiency Syndrome (AIDS). To achieve this purpose, meta-analysis is applied to analyze and synthesize findings for AIDS instructional programs from several prior studies.

• Journal of Engineering Education Research
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• v.16 no.3
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• pp.28-41
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• 2013

The purpose of this study was to develop the Meta-Evaluation Criteria which can comprehensively and systematically evaluate and improve the Accreditation Evaluation System for Engineering Education. This will provide useful implications for establishing value, direction, and improvement remedy for Engineering Educations Accreditation System of Korea. In order to achieve the purpose of this study, Meta-Evaluation Criteria was developed to comprehensively and systematically assess and analyze the Accreditation Evaluation System of Engineering Education. The research methodology used to study these subjects: literature review, interviews with experts, Delphi survey (three times), survey, analysis of narrative opinion and secondary source. The results and conclusions of this study can be summarized as follows: First, the final Meta-Evaluation Criteria were developed so as to comprehensively and systematically assess and analyze the Accreditation Evaluation System of Engineering Education. The criteria's validity and reliability were also identified. Specific details are as follows: In a draft plan of the Meta-Evaluation Criteria, Meta-Evaluation concept was defined as evaluation on the whole range of Accreditation Evaluation System of Engineering Education. Meta-Evaluation Criteria was designed to be based on a systematic approach and applies the phased approach to the lower component to reflect evaluation's characteristics. Then validity and reliability of the developed draft plan was verified by calculating Content Validity Ratio (CVR), Degree of Consensus, Degree of Convergence and Cronbach's alpha. The final developed Meta-Evaluation Criteria obtaining validity and reliability were composed of 5 evaluation areas (environment, input, performance, result, utilization), 15 evaluation items, 68 evaluation indicators.

• IE interfaces
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• v.17 no.3
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• pp.330-337
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• 2004

Since XML (eXtensible Markup Language) was highlighted as an information interchange format, there is an increasing demand for incorporating XML with databases. Most of the approaches are focused on RDB (Relational Databases) because of legacy systems. But these approaches depend on the database system. Countless researches are being focused on DTD (Document Type Definition). However XML Schema is more comprehensive and efficient in many perspectives. We propose a meta-model for XML Schema that is independent of the database. There are three processes to build our meta-model: DOM (Document Object Model) tree analysis, object modeling and storing object into a fixed DB schema using model mapping approach. We propose four mapping rules for object modeling, which conform to the ODMG (Object Data Management Group) 3.0 standard. We expect that the model will be especially useful in building XML-based e-business applications.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.4
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• pp.98-107
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• 2008

As the information and communications market goes more uncertain, foresight activities becomes more important. A number of foresight activities, such as trend analysis, have been used to predict customer needs. However previous studies tend to lack objectivity and systematization. In this study, we suggest a meta analysis methodology which combines both top-down and bottom-up approach in order to systematize the analysis process. Secondly, we applied this approach to ICT market to identify essential future technologies. Based on the result from the meta analysis, we have constructed the future technology roadmap.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.1
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• pp.37-48
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• 2022

In this study, a hybrid meta-heuristic approach is proposed for solving engineering design optimization problems. Various approaches in many literatures have been proposed to solve engineering optimization problems with various types of decision variables and complex constraints. Unfortunately, however, their efficiencies for locating optimal solution do not be highly improved. Therefore, we propose a hybrid meta-heuristic approach for improving their weaknesses. the proposed GA-VNS-HC approach is combining genetic algorithm (GA) for global search with variable neighborhood search (VNS) and hill climbing (HC) for local search. In case study, various types of engineering design optimization problems are used for proving the efficiency of the proposed GA-VNS-HC approach