• IE interfaces
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• 제19권3호
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• pp.225-235
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• 2006

In this paper, we propose an intelligent e-commerce meta-search engine which integrates distributed e-commerce sites and provides a unified search to the sites. The meta-search engine performs the following functions: (1) the user is able to create a category-based user query, (2) by using the WordNet, the query is semantically refined for increasing search accuracy, and (3) the meta-search engine recommends an e-commerce site which has the closest product information to the user’s search intention by matching the user query with the product catalogs in the e-commerce sites linked to the meta-search engine. An experiment shows that the performance of our model is better than that of general keyword-based search.

• The Journal of the Korean dental association
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• 제52권8호
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• pp.478-490
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• 2014

Recently, importance of meta-analysis is increasing in the field of dentistry, since it is not easy to settle controversies arising from conflicting studies. Meta-analysis is the statistical method of combining results from two or more individual studies that have been done on the same topic. Merits of meta-analysis include an increase in power, an improvement in precision, and the ability to address solution not provided by individual studies. However, it might mislead researchers when variation across studies and publication bias are not carefully taken into consideration. The purpose of this study is to help understand meta-analysis by making use of individual results in dental research paper.

• Journal of Intelligence and Information Systems
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• 제3권2호
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• pp.83-91
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• 1997

DELVAUX is an inductive learning environment that learns Bayesian classification rules from a set o examples. In DELVAUX, a genetic a, pp.oach is employed to learn the best rule-set, in which a population consists of rule-sets and rule-sets generate offspring by exchanging some of their rules. We have explored a meta-learning a, pp.oach in the DELVAUX learning environment to improve the classification performance of the DELVAUX system. The meta-learning a, pp.oach learns the bias of a classifier so that it can evaluate the prediction made by the classifier for a given example and thereby improve the overall performance of a classifier system. The paper discusses the meta-learning a, pp.oach in details and presents some empirical results that show the improvement we can achieve with the meta-learning a, pp.oach.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 한국지능정보시스템학회 2005년도 공동추계학술대회
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• pp.346-355
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• 2005

In this paper, we propose a meta-search engine which provides distributed product information through a unified access to multiple e-commerce. The meta-search engine proposed in this paper performs the following functions: (I) The user is able to create a category-based user query, (2) by using the WordNet, the query is semantical refined fined for increasing search accuracy, and (3) the meta-search engine recommends an e-commerce site which has the closest product information to the user's search intention, by matching the user query with the product catalogs in the e-commerce sites linked to the meta-search engine. An experiment shows that the performance of our model is better than that of general keyword-based search.

• Journal of Engineering Education Research
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• 제16권3호
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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.

• Journal of Korean society of Dental Hygiene
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• 제14권5호
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• pp.667-672
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• 2014

Objectives : The purpose of this study was to examine classifying the level and accuracy of the meta-cognitive level of students and dental hygiene, and to understand the impact on the process of problem solving and accordingly, it is intended to provide a basis for learning strategies. Methods : A self-reported questionnaire was filled out by 328 dental hygiene students in 3 colleges in Gyeonggi-do and Chungnam. Data were analyzed by the frequency analysis, one-way ANOVA, Scheffe's post-hoc test, Pearson's correlation coefficient using SPSS 12.0. Results : Meta-cognitive level of the subject was on average 4.43 points and problem solving level was lower at 2.82 points. Showed a significant difference in satisfaction with the major motives meta-cognitive level in accordance with the general characteristics of the subjects(p<0.05). Results of this study showed that no statistically significant differences in both the sub-areas of the level of problem solving according to the general characteristics of the subject(p>0.05). There was no correlation between the ability to solve problems and meta-cognitive level of the subjects(p>0.05). Conclusions : The finding of the study showed that meta-perception of dental hygiene students are lower the level of problem-solving that is compared to meta-cognition. It is suggested that development of a variety of learning methods for improving meta-cognitive thinking and problem-solving skills required in dental hygiene school curriculum.

• The Journal of Korean Academic Society of Nursing Education
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• 제18권2호
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• pp.323-331
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• 2012

Purpose: Level of meta-cognition of students has been regarded as one of the crucial factors on web-based learning. This study aimed to describe interaction type in small group discussion of the nursing graduate students and to investigate learning consequences and interaction types in group discussion on meta-cognition level. Method: Twenty six graduate nursing students attending the class on-line at the K university in Seoul were included in the study. We measured their meta-cognition level and learning attitude. We also scored their individual and group reports as well as analyzed interaction type by reviewing the dialogue of the group discussion. Results: The participants showed low frequency of exploratory interaction and high frequency of integrative interaction in the cognitive interaction category. They showed frequent modification interaction in the meta-cognitive interaction category. Interestingly, the students with lower level of meta-cognition achieved significantly greater scores in the individual assignments. High functioning group consisting of the students with high meta-cognitive level produced greater group report. Conclusion: A new strategy is needed to encourage in-depth interaction in a group discussion of nursing students. Meta-cognitive level of the students should be considered to form a small group for discussion in order to improve group activities.

• Asian-Australasian Journal of Animal Sciences
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• 제33권9호
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• pp.1400-1410
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• 2020

Objective: Genome-wide association study and two meta-analysis based on GWAS performed to explore the genetic mechanism underlying variation in pig number born alive (NBA) and total number born (TNB). Methods: Single trait GWAS and two meta-analysis (single-trait meta analysis and multi-trait meta analysis) were used in our study for NBA and TNB on 3,121 Yorkshires from 4 populations, including three different American Yorkshire populations (n = 2,247) and one British Yorkshire populations (n = 874). Results: The result of single trait GWAS showed that no significant associated single nucleotide polymorphisms (SNPs) were identified. Using single-trait meta analysis and multi-trait meta analysis within populations, 11 significant loci were identified associated with target traits. Spindlin 1, vascular endothelial growth factor A, forkhead box Q1, msh homeobox 1, and LHFPL tetraspan submily member 3 are five functionally plausible candidate genes for NBA and TNB. Compared to the single population GWAS, single-trait Meta analysis can improve the detection power to identify SNPs by integrating information of multiple populations. The multiple-trait analysis reduced the power to detect trait-specific loci but enhanced the power to identify the common loci across traits. Conclusion: In total, our findings identified novel genes to be validated as candidates for NBA and TNB in pigs. Also, it enabled us to enlarge population size by including multiple populations with different genetic backgrounds and increase the power of GWAS by using meta analysis.

• Journal of The Korean Society of Integrative Medicine
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• 제7권4호
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• pp.119-130
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• 2019

Purpose : The purpose of this study was to investigate the meta-analysis on the effects of action observation training on stroke patients' walking. Methods : Domestic databases (DBpia, KISS, NDSL, and RISS) were searched for studies that conducted randomized controlled trials (RCTs) associated with action observation training in adults after stroke. The search outcomes were items associated with the walking function. The 18 studies that were included in the study were analyzed using R meta-analysis. A random-effect model was used for the analysis of the effect size because of the significant heterogeneity among the studies. Sub-group and meta-regression analysis were also used. Egger's regression test was conducted to analyze the publishing bias. Cumulative meta-analysis and sensitivity analysis were also done to analyze a data error. Results : The mean effect size was 2.77. The sub-group analysis showed a statistical difference in the number of training sessions per week. No statistically significant difference was found in the meta-regression analysis. Publishing bias was found in the data, but the results of the trim-and-fill method showed that such bias did not affect the obtained data. Also, the cumulative meta-analysis and sensitivity analysis showed no data errors. Conclusion : The meta-analysis of the studies that conducted randomized clinical trials revealed that action observation training effectively improved walking of the chronic stroke patients.

• Journal of Information Technology and Architecture
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• 제10권3호
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• pp.315-321
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• 2013

The ROK military has established the MND-AF (Ministry of National Defense- Architecture Framework) and is applying it when developing architecture for Enterprise (MND), Segment (component) and Solution (weapons and force support system). The AMM (Architecture Meta model) of the MND-AF supports the establishment of interoperability by systematizing the architecture information structure defined by the Architecture artifact, describing the relationship between data and also by liking reference models and Information technology standard, common components, and MND-Meta data. which are interoperability standards. However, the MND-AMM has insufficient linkage with the standards, which places constraints on applying interoperability standards when developing Solution architecture. This study suggests a logical data model (OV-7c) from the MND-Meta-data-based Architecture meta model that will enhance the application of MND meta data managed by the MND interoperability standard when developing Solution architecture.